anshu7vyas / decision-tree-classifier-and-clustering

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

Decision-Tree-Classifier-and-Clustering

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

Technologies Used:

Python, Weka, PyCharm by IntelliJ.

Dataset:

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

Description:

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.

Clustering algorithms used:

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