Automatic clustering techniques play a central role in Visual Analytics by helping analysts to discover interesting patterns in high-dimensional data. Evaluating these clustering …
In the era of Big Data, cluster analysis of high-dimensional data sets often suffers from the Curse of dimensionality. To overcome this problem, the dimensionality reduction through …
Background In recent years, to investigate challenging bioinformatics problems, the utilization of multiple genomic and proteomic sources has become immensely popular …
Background In the field of computational biology, analyzing complex data helps to extract relevant biological information. Sample classification of gene expression data is one such …
With the burgeoning of online social media and the deluge of information in today's “big data” era, traditional community mining that relies on the connections of the nodes no longer …