Biclustering using Spark-MapReduce
Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag · 2014
Biclustering approaches are more complex compared to the traditional clustering particularly those requiring large dataset and Mapreduce platforms. We propose a new approach of biclustering based on popular self-organizing maps, which is one of the famous unsupervised learning algorithms. We have designed scalable implementations of the new topological biclustering algorithm using MapReduce with the Spark platform.