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20102024
most citedA Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

1.2k citations

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Showing 2012Show all

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cs.LG2012★ 1.2k cited

A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

M. Emre Celebi, Hassan A. Kingravi, Patricio A. Vela

K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initial p…

math.NA2012★ 4 cited

Comments on "On Approximating Euclidean Metrics by Weighted t-Cost Distances in Arbitrary Dimension"

M. Emre Celebi, Hassan A. Kingravi, Fatih Celiker

Mukherjee (Pattern Recognition Letters, vol. 32, pp. 824-831, 2011) recently introduced a class of distance functions called weighted t-cost distances that generalize m-neighbor, o…