Abstract: In this work an example of multi-variant clustering is presented. The problems to be solved are described and multi-variant clustering based on pyramidal multi-layer multi-dimensional structures is outlined. The conclusion is that the multi-variant clustering combined with pyramidal generalization and pruning gives reliable results.

Keywords: Data mining, multi-variant clustering, pyramidal multi-layer multi-dimensional structures.

ACM Classification Keywords: H.2.8 Database Applications, Data mining; I.5.3 Clustering.

Link:

MULTI-VARIANT PYRAMIDAL CLUSTERING AND ANALYSIS HIGH-DIMENSIONAL DATA

Krassimira B. Ivanova, Vitalii Velychko, Krassimir Markov

http://www.foibg.com/ijita/vol19/ijita19-01-p02.pdf