A technique for cluster formation

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摘要

A new algorithm is developed for achieving efficient classification of data with no a-priori information available about the number of groups. A performance index is defined such that minimising it results in appropriate clustering of the given data. Examples are given to illustrate the procedure, whose convergence is guaranted. The proposed method, which is not biased towards clusters of any particular shape or size, is compared with two other clustering techniques.

论文关键词:Neighbourhood function,Link loss,Intracluster loss,Intercluster loss,Distance matrix,Position matrix,Link loss matrix

论文评审过程:Received 20 April 1987, Revised 17 August 1987, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(88)90052-0