A new bi-clustering approach using topological maps
Amine Chaibi, Mustapha Lebbah, Hanane Azzag · 2013
In this paper, we propose a new bi-clustering algorithm based on self-organizing maps titled BiTM (Bi-clustering using Topological Map). BiTM provides a simultaneous clustering of rows and columns of the data matrix in order to increase the homogeneity of bi-clusters by respecting neighborhood relationship and using a single map. BiTM maps provide a new topological visualization of the bi-clusters. Experimental results and comparison studies show that BiTM improves the results in term of bi-clustering and visualization.