—In this paper we propose a clustering and routing scheme for wireless sensor networks based on a self-organizing approach. The aim of this approach is for nodes to perform an in...
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...