Automatic Clustering using Particle Swarm Optimization with Various Validity Indices
碩士 === 輔仁大學 === 資訊工程學系 === 100 === Data clustering partitions a dataset into clusters where each cluster contains similar data. Clustering algorithms usually require users to set the number of clusters, e.g., k-means or fuzzy c-means. However, it is difficult to determine a meaningful number of clus...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/52564427892228369161 |