Comprises of 3 clustering algorithms:
- K-Means Clustering
- Hierarchical Agglomerative Clustering
- Density Based Clustering
- K-Mean Clusering using Hadoop MapReduce Clusering
Input and demo files:
- cho.txt
- iyer.txt
- new_dataset_1.txt
- new_dataset_2.txt
The project was developed as a part of CSE 601, Data Mining and Bioinformatics course requirement at University at Buffalo. The project requirements and specifications are mentioned in Project2.doc