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GaTech CS 4641 Machine Learning

Project 3. Unsupervised Learning

Student Name: HU Heng

GT ID: 903478698

Files:

folder data contains following files:

  • adult.data: training data for adult dataset
  • adult.test: test data for adult dataset

folder figures contains all used figures.

folder report contains the .tex file for the report.

plot.py is for ploting figures

clustering_em_all.py and clustering_km_all.py are the files for running expectation maximization and k means to do clustering(both on raw data and on data after dimension reduction).

wine_km.py and wine_pca.py are the files for plotting data after applying k means clustering and PCA dimension reduction.

wine_nn_dr.py is the file for training neural network after dimension reduction.

wine_nn_cluster.py is the file for training neural network after clustering.


Requirements:

  • python version is 3.7
  • numpy, scipy, pandas, sklearn, pyplot

Run:

python3 <script_name>.py # run the script you want

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