Clustering
Implement three clustering algorithms to find clusters of genes that exhibit similar expression profiles: K-means, Hierarchical Agglomerative clustering with Single Link (Min), and one from (density-based, mixture model, spectral). Set up a single-node Hadoop cluster on your machine and implement MapReduce K-means. Compare with non-parallel K-means on the given data sets. Try to improve the running time.
Install / Use
/learn @CSE601-DataMining/ClusteringREADME
Clustering
Implement three clustering algorithms to find clusters of genes that exhibit similar expression profiles: K-means, Hierarchical Agglomerative clustering with Single Link (Min), and one from (density-based, mixture model, spectral).
Map Reduce
Set up a single-node Hadoop cluster on your machine and implement MapReduce K-means. Compare with non-parallel K-means on the given data sets. Try to improve the running time.
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