Cluster (spacecraft)

R package

Mathematics

Python (programming language)

Algorithm

Row and column spaces

Data mining

Diagonal

Biclustering

Artificial intelligence

Fuzzy clustering

Implementation

Programming language

Geometry

Computer science

Cluster analysis

CURE data clustering algorithm

Computational science

Journal of Statistical Software

Co-clustering (also known as biclustering), is an important extension of cluster analysis since it allows to simultaneously group objects and features in a matrix, resulting in row and column clusters that are both more accurate and easier to interpret. This paper presents the theory underlying several effective diagonal and non-diagonal co-clustering algorithms, and describes CoClust, a package which provides implementations for these algorithms. The quality of the results produced by the implemented algorithms is demonstrated through extensive tests performed on datasets of various size and balance. CoClust has been designed to complete and easily interface with popular Python machine learning libraries such as scikit-learn.

<b>CoClust</b>: A <i>Python</i> Package for Co-Clustering

CoClust: A Python Package for Co-Clustering