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Kernel Probabilistic K-Means Clustering
Kernel fuzzy c-means (KFCM) is a significantly improved version of fuzzy c-means (FCM) for processing linearly inseparable datasets. However, for fuzzification parameter [Formula: see text] , the problem of KFCM (kernel fuzzy c-means) cannot be solved by Lagrangian optimization. To solve this proble...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7962817/ https://ncbi.nlm.nih.gov/pubmed/33800353 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21051892 |
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