Classes and Clusters

Abstract

The concept of classification, along with its forms and purposes, is discussed.
A review of classification in the sciences is provided emphasizing the current extension-driven phase of its development.
Clustering is considered as data-based classification.
Three kinds of table data, column-conditional, comparable and aggregable, are defined.
A set of illustrative data sets are introduced, along with corresponding clustering problems.