Satish Gajawada

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Clustering has been used in literature to enhance classification accuracy. But most partitional clustering methods need the number of clusters as input and also they are sensitive to initialization. Although hierarchical clustering methods may be more effective in finding clustering structure of the dataset than partitional methods but hierarchical(More)
Differential Evolution (DE) is an algorithm for evolutionary optimization. Clustering problems have been solved by using DE based clustering methods but these methods may fail to find clusters hidden in subspaces of high dimensional datasets. Subspace and projected clustering methods have been proposed in literature to find subspace clusters that are(More)
Supervised clustering algorithms are applied on classified examples with the goal of determining class-uniform clusters. These methods evaluate clustering solutions based on class impurity unlike traditional clustering methods. These methods can be used for tasks like data editing and learning of subclasses to enhance classification methods. Supervised(More)
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