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Clustering Algorithms

3 clustering algorithms implemented and tested on 4 datasets.

Parallel Implementation of K Means on Hadoop Streaming.

1. K-Means Clustering

2. Hierarchical Agglomerative Clustering

3. Density Based Clustering

4. Parallel K-Means (Implemented using Hadoop Streaming)

Test Datasets

Dataset Objects Number of Clusters
cho 386 5
iyer 517 10
demo-dataset-1 150 3
demo-dataset-2 6 2

Dataset Format

Each row represents a gene:

  1. First column is gene_id.
  2. Second column is the ground truth cluster. "-1" represents outliers.
  3. Rest of the columns represent gene's expression values (attributes).