Fuzzy Clustering Algorithms for the Mixed Types of Data.
碩士 === 中原大學 === 數學研究所 === 89 === There are several methods for clustering of data, such as divisive , hierarchical, k-means, and fuzzy c-means methods, etc. However ,these methods are must used for numerical data. There are few documents dealing with mixed types of numerical , symbolic and fuzzy da...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2001
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| Online Access: | http://ndltd.ncl.edu.tw/handle/12616104324570956371 |