58 citations · 215 across the 13 of their papers we have counts for
13 papers
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…
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…
A Fast Greedy Algorithm for Outlier Mining
Zengyou He, Xiaofei Xu, Shengchun Deng
The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. In [38], the problem of outlier detection i…