Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
Network coding has been recently proposed as an efficient method to improve throughput, minimize delays and remove the need for reconciliation between network nodes in distribute...
Nikolaos Thomos, Hyunggon Park, Eymen Kurdoglu, Pa...
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Skyline queries have gained a lot of attention for multicriteria analysis in large-scale datasets. While existing skyline algorithms have focused mostly on exploiting data dominan...
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...