— Clustering is grouping of patterns according to similarity or distance in different perspectives. Various data representations, similarity measurements and organization manners...
In this paper we present Clustering Protocol (CP) for sensor networks. Clustering techniques are used by different protocols and applications to increase scalability and reduce de...
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
In this paper, we present a novel indexing data structure called RDHT (Range capable Distributed Hash Table) derived from skip lists and specifically designed for storing and retr...
In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...