/CraftML-An-Efficient-Clustering-based-Random-Forest-for-Extreme-Multi-label-Learning.

We explore extreme multi label learning using a random forest based algorithm. The parallelized implementation uses a K-Means clustering based partitioning approach to improve performance.

Primary LanguageJupyter Notebook

CraftML

An Efficient Clustering-based Random Forest for Extreme Multi-label Learning.