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A Modified K-Means Algorithm - Two-Layer K-Means Algorithm
2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2014In this paper, a modified K-means algorithm is proposed to categorize a set of data. K-means algorithm is a simple and easy clustering method which can efficiently classify a large number of continuous numerical data of high-dimensions. Moreover, the data in each cluster are similar to one another.
Chen-Chung Liu +3 more
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Computational Statistics
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Bottazzi Schenone, Mariaelena +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bottazzi Schenone, Mariaelena +2 more
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-Means: A new generalized k-means clustering algorithm
Pattern Recognition Letters, 2003Summary: This paper presents a generalized version of the conventional \(k\)-means clustering algorithm. Not only is this new one applicable to ellipse-shaped data clusters without dead-unit problem, but also performs correct clustering without pre-assigning the exact cluster number.
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Spherical k-Means++ Clustering
2015k-means clustering (KM) algorithm, also called hard c-means clustering (HCM) algorithm, is a very powerful clustering algorithm [1, 2], but it has a serious problem of strong initial value dependence. To decrease the dependence, Arthur and Vassilvitskii proposed an algorithm of k-means++ clustering (KM++) algorithm on 2007 [3].
Yasunori Endo, Sadaaki Miyamoto
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Robustness Properties of k Means and Trimmed k Means
Journal of the American Statistical Association, 1999Luis Angel Garcia-Escudero +1 more
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IO-K-Means: Iterative Optimization for Centroids in K-Means
Shuntai Zhang +6 moreopenaire +1 more source
Bengali Document Clustering: A Comparative Study of K-Means, K-Means++, Spectral K-Means
Amartya Roy +2 moreopenaire +1 more source