Optimization and Parallelization of Fuzzy Clustering Algorithm Based on the Improved Kmeans++ Clustering
In the field of big data, fuzzy clustering algorithm is one of the most widely used clustering algorithm. Although fuzzy c-means (FCM) algorithm performs well, it still is difficult to ascertain the number of clusters and is sensitive to initial clustering center. To solve these problems, an improve...
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| Published in: | IOP conference series. Materials Science and Engineering Vol. 768; no. 7; pp. 72106 - 72112 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Bristol
IOP Publishing
01.03.2020
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| Subjects: | |
| ISSN: | 1757-8981, 1757-899X |
| Online Access: | Get full text |
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