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- Timestamp:
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Jan 17, 2011, 12:12:35 PM (15 years ago)
- Author:
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adherelinux
- Comment:
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| 2 | 2 | kmeans是分割式分群法(k-means clustering)最常見到的演算法,又稱為Forgy's algorithm[[br]] |
| 3 | 3 | 主要的目的地是在大量資料點中去尋找群集中的質量中心,當成群集中的代表性的點,通常把這個點稱之為群的中心點[[br]] |
| 4 | | 公式如下: |
| 5 | | [[Image(kmean公式.jpg)]][[br]] |
| | 4 | 公式如下:[[br]] |
| | 5 | |
| | 6 | {{{ |
| | 7 | #!html |
| | 8 | <center>[[Image(kmean.jpg)]] |
| | 9 | |
| | 10 | }}} |
| | 11 | |
| | 12 | |