Microarray technology enables the monitoring of the expression patterns of a huge number
of genes across different experimental conditions or time points simultaneously. Biclustering …

The analysis of large-scale data sets using clustering techniques arises in many different
disciplines and has important applications. Most traditional clustering techniques require …

Biclustering is an important tool in microarray data analysis when only a subset of genes
coregulates under a subset of conditions. It is a useful technique for cancer tissue …

The task of biclustering or subspace clustering is a data mining technique that allows
simultaneous clustering of rows and columns of a matrix. Though the definition of similarity …

Biclustering is the method that clusters objects and attributes simultaneously in order to find
partial similarity of data. Many biclustering methods sometimes ignore special relation …