A Parallel Minimal-Spanning-Tree-Based Clustering Algorithm with Self-Detectability of the Best Number of Clusters
碩士 === 國立中央大學 === 資訊工程研究所 === 100 === Recently, efficiency of clustering algorithms for large data analysis has become a major issue in many application domains. First, the computation time and storage space increases dramatically while processing a large amount of data. Second, it is hard to determ...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/36517890026743833619 |