Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
Abstract. Much important evolutionary activity occurs in gene clusters, where a copy of a gene may be free to evolve new functions. Computational methods to extract evolutionary in...
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
—The increasing performance and decreasing cost of processors and memory are causing system intelligence to move from the CPU to peripherals such as disk drives. Storage system d...
Tina Miriam John, Anuradharthi Thiruvenkata Ramani...