Voting in clustering and finding the number of clusters
In this paper we present an unsupervised algorithm which performs clustering given a data set and which can also find the number of clusters existing in it. This algorithm consists of two techniques. The first, the voting technique, allows us to combine several runs of clustering algorithms, with th...
| Main Authors: | , , |
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| Format: | Others |
| Language: | en |
| Published: |
SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business
1999
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| Subjects: | |
| Online Access: | http://epub.wu.ac.at/684/1/document.pdf |