amitthere/clustering-algorithms

K-Means, Hierarchical Agglomerative, Density based and Map Reduce K-Means Clustering implemented on 2 Gene Datasets in Python

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).