Includes bibliographical references
Topic: Cluster analysis
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83
Jul 17, 2013
07/13
by
Everitt, Brian; Social Science Research Council (Great Britain)
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Previous ed.,London , Heinemann Educational for the Social Science Research Council, 1974
Topic: Cluster analysis
620
620
Jan 16, 2012
01/12
by
Leonard Kaufman
texts
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The Naval Postgraduate School's Student Opinion Form data were subjected to study through the use of two cluster analysis techniques: (1) K-MEANS partitioning method and (2) Chernoff 's FACES. Much developmental work was performed to tailor these methods to the special requirements of the data set. A thorough multivariate statistical review provided the basis for choosing optimality criteria and distance functions for use in the MIKCA (Multivariate Iterative K-MEANS Clustering Algorithm) ....
Topic: Cluster Analysis
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15
texts
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334 p. ill
Topic: Cluster analysis
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3.0
Sep 26, 2020
09/20
by
Duran, Benjamin S., 1939-
texts
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vi, 137 p. 25 cm
Topic: Cluster analysis
University of Illinois Urbana-Champaign
232
232
Jan 13, 2012
01/12
by
Roscoe, A. Marvin; Sheth, Jagdish N; Howell, Welling; University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
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Includes bibliographical references
Topic: Cluster analysis
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5.0
texts
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xii, 330 p. : 24 cm
Topic: Cluster analysis
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13
May 9, 2020
05/20
by
Kaufman, Leonard
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xiv, 342 pages : 24 cm
Topics: Classification automatique (Statistique), Cluster analysis, Clusteranalyse, Classification...
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18
May 2, 2020
05/20
by
Gordon, A. D
texts
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x, 256 p. : 24 cm
Topics: Discriminant analysis, Cluster analysis
University of Illinois Urbana-Champaign
233
233
Mar 12, 2013
03/13
by
Cheng, Chih-Meng; University of Illinois at Urbana-Champaign : Deptartment of Computer Science
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UIUCDCS-R-74-655
Topics: Graph theory, Cluster analysis
Agricultural production and farmer wellbeing are frequently and adversely affected by interacting climatic, economic, and policy-related disturbances. The ability of individuals to adapt and manage their resilience in the face of these threats is key to understanding how social-ecological systems might respond to future disturbances. We report the results of a survey of farmer adaptability in the Iowa-Cedar River Basin in eastern Iowa that asked questions of farm characteristics, experiences...
Topics: Cluster analysis, Risk perception
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2.0
Mar 9, 2022
03/22
by
Späth, Helmuth
texts
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226 p. ; 25 cm
Topic: Cluster analysis -- Data processing
"UILU-ENG 80 1718."
Topics: Cluster analysis, Pattern perception
3
3.0
Apr 27, 2020
04/20
by
Mirkin, B. G. (Boris Grigorʹevich)
texts
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xxiii, 266 p. : 24 cm
Topics: Data mining, Cluster analysis
1
1.0
Jan 29, 2022
01/22
by
Godehardt, Erhard
texts
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x, 214 p. : 23 cm
Topics: Cluster analysis, Graph theory
University of Illinois Urbana-Champaign
612
612
Jan 16, 2012
01/12
by
Sherman, Lawrence; Sheth, Jagdish N, joint author; University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
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Includes bibliography
Topics: Marketing research, Cluster analysis
This thesis asserts that Cluster Analysis, or Numerical Taxonomy, has many potential applications in the field of international relations. It demonstrates two representative applications. Both examples treat the nations of the world as objects having measurable attributes, and both examples use selected attributes to produce a dendrogram (or hierarchival classification) of the nations of the world. In one example this dendrogram is used to objectively group the nations into blocs based on...
Topics: cluster analysis, dissimilarity coefficient, dendrogram
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14
Dec 17, 2019
12/19
by
Arabie, Phipps
texts
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92 p. : 22 cm
Topics: Scaling (Social sciences), Cluster analysis
"COO-2118-0028."
Topics: Optical pattern recognition, Cluster analysis
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15
texts
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iv, 621 pages : 24 cm
Topics: Stata, Statistics -- Data processing, Cluster analysis -- Computer programs, Cluster Analysis,...
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16
Nov 4, 2014
11/14
by
Alexander, F. E; Boyle, P. (Peter)
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Includes bibliographical references (p. 236-247)
Topics: Epidemiology, Cluster analysis, Epidemiologic Methods
This thesis is an attempt to develop a taxonomical structure to use in the classification of the goods purchased by the Federal Government. The primary objective was to develop a usable scheme that practitioners could employ in classifying goods along a continuum from simple to complex. A secondary objective of this thesis was to determine the characteristics of the goods, other than their obvious physical differences, to utilize in classifying. Using 21 randomly selected heterogeneous goods...
Topics: Surveys, Cluster analysis., Government Goods Taxonomy, Taxonomy, Classification System for...
76
76
May 21, 2012
05/12
by
Bezdek, James C., 1939-; Pal, Sankar K; IEEE Neural Networks Council
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"A selected reprint volume, IEEE Neural Networks Council, sponsor."
Topics: Pattern perception, Fuzzy sets, Cluster analysis
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1.0
texts
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xii, 693 p. : 25 cm
Topics: Cluster analysis -- Congresses, Pattern perception -- Congresses
5
5.0
Oct 9, 2021
10/21
by
Aldenderfer, Mark S
texts
eye 5
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88 p. : 22 cm
Topics: Social sciences -- Statistical methods, Cluster analysis
University of Illinois Urbana-Champaign
278
278
Jan 13, 2012
01/12
by
Calder, Bobby J; Rowland, Kendrith Martin; Leblebici, Huseyin, joint author; University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
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Includes bibliographical references (p. 38-40)
Topics: Social structure, Multidimensional scaling, Cluster analysis
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7.0
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x, 467 p. : 24 cm
Topics: Discriminant analysis -- Congresses, Cluster analysis -- Congresses
We conducted a one-year longitudinal study in which 600 American adults regularly reported their climate change beliefs, pro-environmental behavior, and other climate-change related measures. Using latent class analyses, we uncovered three clusters of Americans with distinct climate belief trajectories: (1) the “Skeptical,” who believed least in climate change; (2) the “Cautiously Worried,” who had moderate beliefs in climate change; and (3) the “Highly Concerned,” who had the...
Topics: Behavior, Beliefs, Climate change, Cluster analysis
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3.0
texts
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xxii, 903 p. : 25 cm
Topics: Discriminant analysis, Cluster analysis, Pattern perception
The importance varietal diversity of fig tree in the traditional agro ecosystems of the Riffian Mountains remains ignored. To evaluate it, a prospection and characterization were carried out in North West of Morocco. Seventy-five morphological parameter traits were used to characterize the fig accessions. In the first way of hierarchical clustering, the fig accessions were distributed into three main groups. The groups were very heterogeneous and include many clusters separate under tow or more...
Topics: Fig, morphology, diversity, cluster analysis, Morocco.
Bibliography: p. 63-64
Topics: Metropolitan areas, Factor analysis, Cluster analysis
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78
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Purpose: The main aim of this paper is to propose a market segmentation approach based on all the phases of wine purchase and consumption process. To this aim, we investigated the main components of wine purchasing behavior and the socio-demographic profile of those who are both buyers and consumers of wine. Design/Methodology/Approach: Starting from consumer behavior literature, we identified six phases in the purchasing process and we operationalized each of them. A structured questionnaire...
Topics: Wine, Market Segmentation, Consumer Behavior, Cluster Analysis
Within a research project on computer-based content analysis empirically specified content of nouns is assumed to come about through weighted verbs and adjectives connected with the nouns. Based on this assumption noun clusters have been established. This study tries to find out a method for measuring the function of adverbs within the adjectival structure. It is namely possible that the weight of the respective adjectives could change in connection with modifiers in such a degree that the...
Topics: psycholinguistics, psychometrics, cluster analysis, modifiers, content analysis
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157
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Purpose: The main aim of this paper is to propose a market segmentation approach based on all the phases of wine purchase and consumption process. To this aim, we investigated the main components of wine purchasing behavior and the socio-demographic profile of those who are both buyers and consumers of wine. Design/Methodology/Approach: Starting from consumer behavior literature, we identified six phases in the purchasing process and we operationalized each of them. A structured questionnaire...
Topics: Wine, Market Segmentation, Consumer Behavior, Cluster Analysis
Inclusion of irrelevant variables in a cluster analysis adversely affects subgroup recovery. This paper examines using moment-based statistics to screen variables; only variables that pass the screening are then used in clustering. Normal mixtures are analytically shown often to possess negative kurtosis. Two related measures, "m" and coefficient of bimodality "b," are also examined. A Monte Carlo study compared the screening measures to no selection, De Soete's (1988)...
Topics: ERIC Archive, Cluster Analysis, Monte Carlo Methods
The article explores the theories of using cluster analysis in marketing research, based on the importance and necessity of exploring the competitive environment in the knitwear market. Competitive environment in the knitwear market of the Republic of Uzbekistan has been studied using cluster analysis. The effectiveness of cluster analysis of competitive environment in the knitwear market is demonstrated. Radjabov Bunyod Abduhalilovich. (2020). APPLICATION OF CLUSTER ANALYSIS TO STUDY...
Topics: marketing, marketing research, cluster analysis, knitting market
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63
Dec 28, 2019
12/19
by
Hartigan, John A., 1937-
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xiii, 351 pages : 26 cm
Topics: CLUMPS, Algoritmen, Classification automatique (statistique), ALGORITHMS, Cluster analysis Data...
(DFAS) vendor payment transactions through Unsupervised Modeling (cluster analysis). Clementine Data Mining software is used to construct unsupervised models of vendor payment data using the K-Means, Two Step, and Kohonen algorithms. Cluster validation techniques are applied to select the most useful model of each type, which are then combined to select candidate records for physical examination by a DFAS auditor. Our unsupervised modeling technique utilizes all the available valid transaction...
Topics: Cluster analysis, Computer programs, Data mining, Fraud investigation
Mendeley Climate Change Library
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43
Jul 5, 2019
07/19
by
Stephanie E. Chang; Jackie Z.K. Yip; Tugce Conger; Greg Oulahen; Michelle Marteleira
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Coastal communities around the world face challenges in planning for coastal flooding and sea-level rise related to climate change. This paper develops an approach for identifying typologies of communities on the basis of their hazard vulnerability characteristics. The approach first characterizes communities with a suite of vulnerability indicators, selected to meet criteria of breadth, relevance, and data requirements. Cluster analysis is then applied to the indicator profiles to identify...
Topics: Cluster analysis, Coastal, Community, Natural hazard, Similarity, Vulnerability
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4.0
May 9, 2020
05/20
by
Neff, Norman D
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vii, 207 pages ; 27 cm
Topics: Cluster analysis -- Tables, Distribution (Probability theory) -- Tables, Cluster analysis,...
133
133
Jan 24, 2017
01/17
by
Ejaz Ul Haq
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Data mining is an integrated field, depicted technologies in combination to the areas having database, learning by machine, statistical study, and recognition in patterns of same type, information regeneration, A.I networks, knowledge-based portfolios, artificial intelligence, neural network, and data determination. In real terms, mining of data is the investigation of provisional data sets for finding hidden connections and to gather the information in peculiar form which are justifiable and...
Topics: cluster analysis, comportment, relegation, algorithms, natural, distribution, hypothesis
"July 1995."
Topics: Vegetation classification Wyoming, Cluster analysis, Plant ecology Wyoming
The crime is an act that an offence against the public and the perpetrator of that act are liable to legal punishment. It is closely associated with geographical and demographic variables. Present study aims to identify the area suffering major crimes named hotspot and the area with fewer crimes named safe zone with respect to different heads of crime against body. The data collected by State Crime Record Bureau, Uttar Pradesh, India are taken for study, and using the cluster analysis， the...
Topics: Spatial Analysis, IPC, Crime Against Body, Cluster Analysis .
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92
Jan 1, 2018
01/18
by
AD Publications
texts
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—The recognition of depositional environments from well logs is based on the principle that well log responses are related to changes in thickness, texture, grain size and lithology along the well path. The variations in sedimentary rock response are due to reservoir heterogeneity. A similar set of log responses that characterizes a specific rock type and allows it to be distinguished from others, have defined an electrofacies.Cluster analysis includes a broad suite of techniques designed to...
Topics: Cluster analysis, Mishrif Formation, Logfacies, Well Logs response
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15
Feb 28, 2020
02/20
by
Gan, Guojun, 1979-
texts
eye 15
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p. cm
Topics: Cluster analysis -- Data processing, C++ (Computer program language)
In the field of image analysis and processing, the post section of having a data record plays a vital role. The research work carried out for analyzing a crack image in an oil pipeline titled “Image Analysis and processing using mathematical morphological operators and high frequency filter for pipeline crack measurement†had a difficult phase of saving the data for future study. To overcome this issue a technique to preserve the image data is handled with the concept of big data...
Topics: Bigdata, Cluster Analysis, Machine Learning, Prescriptive analytics, Supervised Learning.
Outlining a cluster procedure which maximizes specific criteria while building scales from binary measures using a sequential, agglomerative, overlapping, non-hierarchic method results in indices giving truer results than exploratory facotr analyses or multidimensional scaling. In a series of eleven figures, patterns within cluster histories reveal the structure of the data. If true clusters exist in the data, one way they reveal themselves is by a sharp drop in the index values as an item...
Topics: ERIC Archive, Cluster Analysis, Factor Analysis, Research Methodology, Statistics
Abstract — Fish is a major source of protein for humans, and it is patronized by many in the tropics – where fishes can either be cultivated in the farms domestically or caught from open water bodies such as rivers, ponds and streams. These various sources of fishes and their attendant diversity of microorganisms particularly the bacteria make fishes as potential sources of pathogens. The maintenance of the microbiological quality of food and water is important to prevent...
Topics: Water Microbiology, Water Pollutants, Heterotrophic Bacteria, Cluster Analysis, Nigeria.
This thesis applies cluster analysis to the problem of grouping Army Reserve Center markets based on measurable economic characteristics of local labor markets and characteristics of individual Reserve Centers. Three applications with potential uses in manpower planning are demonstrated. Predicting models for Reserve accessions are developed for the clustered Reserve Centers.
Topics: Management, Army reserve, Cluster analysis, Classification, Supply models, Manpower
