K-modes Clustering

By A. Chaturvedi, P. Green, J. Caroll. Journal of Classification, 2001

316 citations recorded by the source corpus.

How researchers see this paper

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Secrets of GrabCut and Kernel K-Means (2015, methodology): “It is also interesting that discrete version of K-modes for histograms [30, 15] define mode μ = (μ(1), .”
Clustering Algorithms Research (2008, unknown): “尽管在一些情况下,潜类算法比 K-modes-CGC 算法执行得更好,但 Chaturvedi 猜测在另外一些情况下,潜类算法很可能是不可行的.”
Improving the Accuracy and Efficiency of the k-means Clustering Algorithm (2009, methodology): “A variant of the k-means algorithm is the k-modes [2] [5] method which replaces the means of clusters with modes.”
A survey on nature inspired metaheuristic algorithms for partitional clustering (2014, background): “(determines the closest cluster centers for all the data points), X-means [38] (determines the best number of clusters K by optimizing a criterion such as Akaike Information Criterion (AIC) or Bayesian Information Criterion (BIC)), k-harmonic means [39] (instead of minimum of Euclidean distance the ”