An Efficient Line Symmetry-Based K-Means Algorithm
碩士 === 國立臺灣科技大學 === 資訊工程系 === 93 === Recently, Su and Chou presented an efficient point symmetry--based K--means algorithm. Extending their point symmetry--based K--means algorithm, this paper presents a novel line symmetry--based K--means algorithm for clustering the data set with line symmetry pro...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/76135711527467374979 |
| Summary: | 碩士 === 國立臺灣科技大學 === 資訊工程系 === 93 === Recently, Su and Chou presented an efficient point symmetry--based
K--means algorithm. Extending their point symmetry--based K--means
algorithm, this paper presents a novel line symmetry--based
K--means algorithm for clustering the data set with line symmetry
property. Based on some real data sets, experimental results
demonstrate that our proposed line symmetry--based K--means
algorithm is rather encouraging.
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