Improved Fuzzy C-Means Algorithm with Hierarchical Structure and Cluster Validity Index
碩士 === 國立東華大學 === 電機工程學系 === 98 === In the traditional fuzzy c-means algorithm, the Euclidean distance function is used to calculate the membership value of a data point for each data cluster, and the initialized cluster centers are randomly assigned. Hence, the clustering results often obtain bad r...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/72455056801854029071 |