Stochastic gradient descent based fuzzy clustering for large data
Data is growing at an unprecedented rate in commercial and scientific areas. Clustering algorithms for large data which require small memory consumption and scalability become increasingly important under this circumstance. In this paper, we propose a new clustering approach called stochastic gradie...
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Main Authors: | , , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/104522 http://hdl.handle.net/10220/25889 |
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Institution: | Nanyang Technological University |
Language: | English |
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