Skip to content

Latest commit

 

History

History
14 lines (7 loc) · 323 Bytes

README.md

File metadata and controls

14 lines (7 loc) · 323 Bytes

clustering

Java implementation of clustering using weka api

Implemented clustering method:

Simple K-Means, DBSCAN, Agglomerative Hierarchical Clustering

Clustering with other algorithms can be implemented in the same way

testData.py:

Generating cluster model for testing using make_blobs() in scikit-learn