Biclustering is a simultaneous clustering technique by finding sub-matrixes that have the same similarity between rows and columns. One of biclustering algorithms relatively fast can be used as reference for comparison several BCBimax algorithm. The algorithm works sub-matrix containing element 1 formed binary data matrix. selection thresholds in binarization process minimum combination columns...

The problem of biclustering consists of the simultaneous clustering of rows and columns of a matrix such that each of the submatrices induced by a pair of row and column clusters is as uniform as possible. In this paper we approximate the optimal biclustering by applying one-way clustering algorithms independently on the rows and on the columns of the input matrix. We show that such a solution ...

Biclustering is a major tool of data mining in many domains and many algorithms have emerged in recent years. All these algorithms aim to obtain coherent biclusters and it is crucial to have a reliable procedure for their validation. We point out the problem of size bias in biclustering evaluation and show how it can lead to wrong conclusions in a comparative study. We present the theoretical c...

Let matrix A represent a data set of m features and n samples. Each element of the matrix, aij , corresponds to the expression of the i-th feature in the j-th sample. Biclustering is a classification of the samples as well as features into k classes. In other words, we need to classify columns and rows of the matrix A. Doing so, let S1, S2, . . . , Sk and F1, F2, . . . , Fk denote the classes o...

Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used in several ways to achieve a deeper understanding or better confidence in bioinformatic data analysis. In the specific field of fuzzy biclustering, stability can be analyzed by porting the definition of existing stability index...

Mining microarray data to unearth interesting expression profile patterns for discovery of in silico biological knowledge is an emerging area of research in computational biology. A group of functionally related genes may have similar expression patterns under a set of conditions or at some time points. Biclustering is an important data mining tool that has been successfully used to analyze gen...

UNLABELLED BiVisu is an open-source software tool for detecting and visualizing biclusters embedded in a gene expression matrix. Through the use of appropriate coherence relations, BiVisu can detect constant, constant-row, constant-column, additive-related as well as multiplicative-related biclusters. The biclustering results are then visualized under a 2D setting for easy inspection. In partic...

With the spread of information systems and the increased interest in education, the quantity of data about education has exploded along with a new field Educational Data Mining. Predicting students’ performance has been approached by several techniques, but the combination of supervised and non-supervised techniques appeared as a new tool for improving the results. Biclustering algorithms have ...