Français
4. Classification
4.1 Objectives
As in the case of multidimensional positioning (MDS), the data, which concern n individuals assigned, for simplicity, the same weight, can be presented in different forms:
a table of distances or measures of dissimilarity, n x n, between individuals taken in pairs;
the observations of p quantitative variables on these n individuals associated with a choice of metric ;
observations, always on these n individuals, of qualitative variables or a mixture of quantitative and qualitative variables.
In one way or another, in each case, it's a matter of returning to the table of pairwise distances between individuals (i.e. the first case). Choosing...
The Ultimate Scientific and Technical Reference
This article is included in
Mathematics
This offer includes:
Knowledge Base
Updated and enriched with articles validated by our scientific committees
Services
A set of exclusive tools to complement the resources
Practical Path
Operational and didactic, to guarantee the acquisition of transversal skills
Doc & Quiz
Interactive articles with quizzes, for constructive reading
Classification
Conclusion
Bibliography
Websites
Other resources (handouts, practical exercises, functions written in R) are available on the website :
https://www.math.univ-toulouse.fr/
R Development Core TeamR: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing
Find out more
The most useful general and introductory references for this theme are: Bouroche & Saporta (1980), Jobson (1992), Lebart, Morineau & Piron (2006), Mardia, Kent & Bibby (1979), Saporta (2006). More recent additions and developments can be found in: Droesbeke, Fichet & Tassi (1992), Govaert (2003).
The Ultimate Scientific and Technical Reference
