Cited By
View all- Abin ABeigy H(2015)Active constrained fuzzy clusteringPattern Recognition10.1016/j.patcog.2014.09.00848:3(953-967)Online publication date: 1-Mar-2015
Density-based clustering is well-known for finding clusters that have different shapes and sizes, but they have unsatisfactory results on adjacent clusters with different densities. In this paper, we propose a novel algorithm that combines DBSCAN ...
Cluster validity indices are used to validate results of clustering and to find a set of clusters that best fits natural partitions for given data set. Most of the previous validity indices have been considerably dependent on the number of data objects ...
It is important to find the natural clusters in high dimensional data where visualization becomes difficult. A natural cluster is a cluster of any shape and density, and it should not be restricted to a globular shape as a wide number of algorithms ...
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