Cited By
View all- Li DWen GHou ZHuan EHu YLi H(2019)RTCRelief-FKnowledge and Information Systems10.1007/s10115-018-1176-z59:1(219-250)Online publication date: 1-Apr-2019
We considered the initialization of K-modes clustering from the view of outlier detection.We proposed an initialization algorithm for K-modes clustering via the distance-based outlier detection technique.We presented a partition entropy-based outlier ...
Classical clustering methods, such as partitioning and hierarchical clustering algorithms, often fail to deliver satisfactory results, given clusters of arbitrary shapes. Motivated by a clustering validity index based on inter-cluster and intra-cluster ...
Clustering is an unsupervised learning procedure and there is no a prior knowledge of data distribution. It organizes a set of objects/data into similar groups called clusters, and the objects within one cluster are highly similar and dissimilar with ...
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