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- W2578501743 abstract "K Means Algorithm is widely used for clustering. The results of the algorithm are affected by outliers which are not dealt. This problem may lead to significant performance degradation. This paper presents a modified version of the algorithm for including the concept of outlier detection on the basis of threshold values. Experimental setup for the proposed algorithm is in development phase which will later be presented to demonstrate improvement in performance." @default.
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- W2578501743 date "2015-11-01" @default.
- W2578501743 modified "2023-09-23" @default.
- W2578501743 title "An algorithm for outlier detection in clusters" @default.
- W2578501743 doi "https://doi.org/10.1109/iciibms.2015.7439499" @default.
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