An unsupervised clustering algorithm based on its data distribution and standard deviation
碩士 === 國立臺灣科技大學 === 電機工程系 === 103 === In this thesis, we proposed a new way of clustering expandable clusters by basing on “An unsupervised clustering approach based on its data distribution” to avoid any resultant cluster to include any data point belong to other clusters. After using an appropriat...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/73595714703297826966 |