Clustering stream data by regression analysis

Authors:
Masahiro Motoyoshi;Takao Miura;Isamu Shioya
Affiliations:
HOSEI University, KajinoCho, Koganei, Tokyo, Japan;HOSEI University, KajinoCho, Koganei, Tokyo, Japan;SANNO University, Kamikasuya, Isehara, Kanagawa, Japan
Venue:
ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
Year:
2004

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Abstract

In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and criterion to combine clusters. In this investigation, we propose a new method to cluster stream data while avoiding this deficiency. Here we assume there exists aspects of local regression in data. Then we develop our theory to combine clusters using F values by regression analysis as criterion and to adapt to stream data. We examine experiments and show how well the theory works.