cafe

<p>Results of the mesure of some properties of twelve coffe cups</p>

datasets

Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency.
First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method.
The function 'kmeansW', a modification of 'kmeans', programmed in C++, is included, in order to permit to have different weights of the elements to be clustered. Some complementary functions and datasets are included.
See, for example:
Lebart, L. and Piron, M. and Morineau, A.  (2006).
Statitique exploratoire multidimensionnelle, Dunod, Paris.

Campo Pardo

FactoClass

Combination of Factorial Methods and Cluster Analysis

cafe function

<p>Object of class <code>data.frame</code> with 12 rows and 16 columns.</p>

cafe: Cofee cups

Description

Usage

Arguments

Format

References