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- W2619228733 abstract "The paper proposed a method of hybridization of k-means algorithm and evolutionary programming. The blend of the two generates k number of clusters C = (c1, ..., ck) in the data space D = {x1, ..., xn}. These clusters will evolve in such a way that prediction of the upcoming trends of clusters in the application is possible. The proposed hybrid is named as evolutionary k-means clustering algorithm which is useful in generating and predicting clustering trends in an automated system." @default.
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- W2619228733 date "2013-01-02" @default.
- W2619228733 modified "2023-09-27" @default.
- W2619228733 title "Clustering Trend Predictions Using Evolutionary K-means Algorithm for Automated Clustering" @default.
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