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Clustering by Mode Estimation

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2 Author(s)
Ocelikova, E. ; Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Kosice ; Klimesova, D.

In this contribution we introduce a clustering scheme based on mode boundary detection procedures. Modes are characterized as compact regions of the data space with higher densities than their surrounding. A mode boundary as defined in this approach is an area of large local changes in the probability density functions. Examples of the performance of the clustering based on the so-obtained mode boundaries are given using artificially generated data sets.

Published in:

Applied Machine Intelligence and Informatics, 2009. SAMI 2009. 7th International Symposium on

Date of Conference:

30-31 Jan. 2009