Yet another project in CSC 869 Data Mining for partial completion of the class in San Francisco State University.

Python, Weka, PyCharm by IntelliJ.

Census income dataset for Part 1. Iris dataset for Part 2.

C4.5 classifier and Clustering. Using the classifier readily available in Weka or Scikit-learn, apply the same classification to the census income adult dataset. Then comparing the results to the Naive Bayesian classifier implemented by me (Check my repos). Apply various clustering algorithms on a small but perfect dataset - IRIS.

1. Simple K Means
2. X Means
3. DBSCAN - A density based clustering algorithm.