An Efficient DBSCAN Clustering Algorithm Based on Cloud Computing
碩士 === 國立臺灣科技大學 === 資訊工程系 === 100 === DBSCAN is a well-known algorithm for density-based clustering because it can identify the groups of arbitrary shapes and deal with noisy datasets. However, with the increasing amount of data, DBSCAN algorithm running on a single machine...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/5sa427 |