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Text & Data Mining by practical means
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Text mining, data mining, predictive analytics: A space to exchange ideas that work in enterprise contexts.
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2026-02-02 00:08:38
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Text & Data Mining by practical means Text & Data Mining by practical means Text mining, data mining, predictive analytics: A space to exchange ideas that work in enterprise contexts. Pages Home About Cristian Donations Status Tuesday, December 9, 2014 Partitional clustering: number of clusters and performances a quantitative analysis Abstract Partitional clustering methods as k-medoid or k-means require an input parameter to specify the number of clusters to partition the data. The complexity in time of such algorithms strictly depends on the number of clusters used to initialise the computation. the steps to update the centroids. Whenever the similarity distance doesn't allow the determination of the centroid thru the analytical methods, the complexity in time tends to explode. In the post I show an heuristic to minimise the complexity in time in non-Euclidean space. Number of computational steps for standard k-mean executed. Chart depicts the steps b...
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