Scalable Clustering Using the Dempster-Shafer Theory of Evidence
Clustering large data sets has become very important as the amount of available unlabeled data increases. Single Pass Fuzzy C-Means (SPFCM) is useful when memory is too limited to load the whole data set. The main idea is to divide dataset into several chunks and to apply fuzzy c-means (FCM) to each...
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| Format: | Others |
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Scholar Commons
2016
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| Online Access: | http://scholarcommons.usf.edu/etd/6478 http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=7675&context=etd |