Clustering Stream Data by Regression Analysis

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.

• Type: Conference
• Year: 2004
• Where: ACSW
• Authors: Masahiro Motoyoshi, Takao Miura, Isamu Shioya
• Keywords: ACSW 2004, ACSW 2007, Data Clustering, K-means Method, Stream Data