Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
In this paper, we proposed a novel scheme, named as TCP-ABC, which replicates the server side TCP connections among multiple server nodes of a cluster. By guaranteeing atomic reque...
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...
In this paper, we compare running the Linux operating system on the compute nodes of ASCI Red hardware to running a specialized, highly-optimized lightweight kernel (LWK) operatin...
Ron Brightwell, Rolf Riesen, Keith D. Underwood, T...
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...