Detecting a data set structure through the use of nonlinear projections search and optimization
Victor L. Brailovsky, Michael Har-Even (1998)
Kybernetika
Similarity:
Detecting a cluster structure is considered. This means solving either the problem of discovering a natural decomposition of data points into groups (clusters) or the problem of detecting clouds of data points of a specific form. In this paper both these problems are considered. To discover a cluster structure of a specific arrangement or a cloud of data of a specific form a class of nonlinear projections is introduced. Fitness functions that estimate to what extent a given subset of...