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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Silva, L. Gomide, F. Yager, R. |
| Copyright Year | 2005 |
| Description | Author affiliation: State Univ. of Campinas (Silva, L.; Gomide, F.; Yager, R.) |
| Abstract | This work suggests an unsupervised fuzzy clustering algorithm based on the concept of participatory learning introduced by Yager in the nineties. The performance of the algorithm is verified with synthetic data sets and with the well-known Iris data. In both circumstances the participatory learning algorithm determines the expected number of clusters and the corresponding cluster centers successfully. Comparisons with Gustafson-Kessel (GK) and modified fuzzy k-means (MFKM) are included to show the effectiveness of the participatory approach in data clustering |
| Sponsorship | IEEE IEEE Neural Networks Soc |
| Starting Page | 857 |
| Ending Page | 861 |
| File Size | 2160289 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780391594 |
| DOI | 10.1109/FUZZY.2005.1452506 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-05-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering algorithms Educational institutions Iris Data engineering Data processing Man machine systems Pattern recognition Machine learning Data mining Modeling |
| Content Type | Text |
| Resource Type | Article |
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