karunkannan / R-RerF

This is the R implementation of Randomer Forest.
Apache License 2.0
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Sprint 1 - Implement MeanShift and Agglomerative Clustering algorithms to get clusters from the ndmg output and use NMF to get features from the clusters #4

Open alemmer1 opened 6 years ago

alemmer1 commented 6 years ago

Goal: Code different clustering algorithms to find clusters within the data. Will use Randomer Forests, MeanShift, and Agglomerative Clustering algorithms. Will use NMF to get features from these clusters.

DoD: 1) Develop and run MeanShift and Agglomerative Clustering on the ndmg output. 2) Run Randomer Forests algorithm on ndmg output. 3) Generate features from the produced clusters using NMF.

jovo commented 6 years ago

be specific