We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
A Beowulf cluster is a MIMD multiprocessor built from commodity off-the-shelf personal computers connected via a dedicated network, running free open-source software. Such a clust...
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....