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- W2034129610 abstract "Fuzzy-c-means (FCM) and hard clustering algorithms are the most common tools for data partitioning. However, these clustering algorithms may fail completely in the presence of noise. We introduce a robust noise rejection clustering algorithm based on a combination of techniques that treat the FCM weak points with a traditional noise rejection algorithm. Unlike the traditional FCM, the proposed algorithm is a powerful tool for partitioning the data in the presence of noise (outliers)." @default.
- W2034129610 created "2016-06-24" @default.
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- W2034129610 date "1999-01-01" @default.
- W2034129610 modified "2023-09-25" @default.
- W2034129610 title "An improved robust fuzzy clustering algorithm" @default.
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- W2034129610 doi "https://doi.org/10.1109/fuzzy.1999.790082" @default.
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