Feature selection in high-dimensional dataset using MapReduce

Code

• github.com/creggian/spark-ifs
  OfficialIn papernone★ 0

Abstract

This paper describes a distributed MapReduce implementation of the minimum Redundancy Maximum Relevance algorithm, a popular feature selection method in bioinformatics and network inference problems. The proposed approach handles both tall/narrow and wide/short datasets. We further provide an open source implementation based on Hadoop/Spark, and illustrate its scalability on datasets involving millions of observations or features.

Tasks

Reproductions