A Note on W-K-Means Algorithm
碩士 === 國立新竹教育大學 === 人資處數學教育碩士班 === 97 === The purpose of this note is to propose two attribute weight initialization methods in the W-k-means algorithm proposed by Huang et al. (2005). Results from color image segmentation illustrate the proposed methods produce better segmentation than the randomly...
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/19768107592650715153 |
| Summary: | 碩士 === 國立新竹教育大學 === 人資處數學教育碩士班 === 97 === The purpose of this note is to propose two attribute weight initialization methods in the W-k-means algorithm proposed by Huang et al. (2005). Results from color image segmentation illustrate the proposed methods produce better segmentation than the randomly generated weights according to Liu and Yang’s (1994) evaluation function.
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