The main goal of this paper is to compare the motif information extracted from clusters and biclusters of the protein using Motif Comparator. The clusters and biclusters are obtained using the PSO k-means algorithm. The functions of the proteins are preferably found from their motif information....

A novel biclustering approach is proposed in this paper, which can be used to cluster data (like web data, gene expression data) into local pattern using MapReduce framework. The proposed biclustering approach extracts the highly coherent bicluster using a correlation measure called Average...

One of the prominent issues in Genetic Algorithm (GA) is premature convergence on local optima. This restricts the enhanced optimal solution searching in the entire search space. Population size is one of the influencing factors in Genetic Algorithm. Increasing the population size will improvise...