A Feature-Reduction Fuzzy C-Means Algorithm for Interval Data
碩士 === 中原大學 === 應用數學研究所 === 106 === Fuzzy clustering algorithm usually considers equally important information for all feature components of data. In a large amount of data, unimportant messages may appear for some feature components. However, in the process of most fuzzy clustering algorithms, info...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/db6cae |