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Title Details:
CLUSTER ANALYSIS
Authors: Petridis, Dimitrios
Reviewer: Siardos, Georgios
Subject: MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > MULTIVARIATE ANALYSIS
MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS
MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > APPLICATIONS
Keywords:
Multivariate Analysis
Multiple Regression
Ordinal Regression
Multinomial Regression
Regression Diagnostics
Principal Component Analysis
Factor Analysis
Cluster Analysis
MANOVA
Discriminant Analysis
Chaid And Cart Classification Models
Canonical Correlation
Correspondence Analysis
Reciprocal Averaging
Redundancy Analysis
Canonical Correspondence Analysis
Case Studies
Logistic Regression
Binomial Regression
Item Analysis
Description:
Table of Contents:
Strategies of data clustering
Hierarchical cluster analysis
-- Similarity (or dissimilarity) matrices
-- Methods of data classification
-- Techniques of data amalgamation to clusters
-- Diagnostic criteria in selecting right number of clusters
-- Efficiency of the selected cluster technique
Non-hierarchical cluster analysis
Summary and recommendations
Case study of cluster analysis
References
Technical Editors: Koumartzis, Nikolaos
Graphic Editors: Koumartzis, Nikolaos
Type: Chapter
Creation Date: 2015
Item Details:
License: http://creativecommons.org/licenses/by-nc-sa/3.0/gr
Handle http://hdl.handle.net/11419/2130
Bibliographic Reference: Petridis, D. (2015). CLUSTER ANALYSIS [Chapter]. In Petridis, D. 2015. ANALYSIS OF MULTIVARIATE TECHNIQUES [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/2130
Language: Greek
Is Part of: ANALYSIS OF MULTIVARIATE TECHNIQUES
Number of pages 36
Publication Origin: Kallipos, Open Academic Editions