58 citations · 312 across the 28 of their papers we have counts for
6 papers · 1 filter
Attribute Value Weighting in K-Modes Clustering
Zengyou He, Xaiofei Xu, Shengchun Deng
In this paper, the traditional k-modes clustering algorithm is extended by weighting attribute value matches in dissimilarity computation. The use of attribute value weighting tech…
Farthest-Point Heuristic based Initialization Methods for K-Modes Clustering
Zengyou He
The k-modes algorithm has become a popular technique in solving categorical data clustering problems in different application domains. However, the algorithm requires random select…
Approximation Algorithms for K-Modes Clustering
Zengyou He
In this paper, we study clustering with respect to the k-modes objective function, a natural formulation of clustering for categorical data. One of the main contributions of this p…
K-ANMI: A Mutual Information Based Clustering Algorithm for Categorical Data
Zengyou He, Xiaofei Xu, Shengchun Deng
Clustering categorical data is an integral part of data mining and has attracted much attention recently. In this paper, we present k-ANMI, a new efficient algorithm for clustering…
K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset
Zengyou He, Xiaofei Xu, Shengchun Deng +1
Clustering categorical data is an integral part of data mining and has attracted much attention recently. In this paper, we present k-histogram, a new efficient algorithm for clust…
Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach
Zengyou He, Xiaofei Xu, Shengchun Deng
Clustering is a widely used technique in data mining applications for discovering patterns in underlying data. Most traditional clustering algorithms are limited to handling datase…