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...

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Bibliographic Details
Main Authors: Wang, Yangtao, Chen, Lihui, Mei, Jian-Ping
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/106736
http://hdl.handle.net/10220/25085
http://dx.doi.org/10.1109/TFUZZ.2014.2298244
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Institution: Nanyang Technological University
Language: English
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