Incremental fuzzy clustering with multiple medoids for large data
As an important technique of data analysis, clustering plays an important role in finding the underlying pattern structure embedded in the unlabelled data. Clustering algorithms that need to store the entire data into the memory for analysis become infeasible when the data set is too large to be s...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/106736 http://hdl.handle.net/10220/25085 http://dx.doi.org/10.1109/TFUZZ.2014.2298244 |