#Data Analysis

k means clustering

• Compute the likelihood function based on mixture distance function and Implement K means clustering with visual representation with the Euclidian distance likelihood function.

Perceptron

• Implement Perceptron for binary classification tasks with visual representation.

mean-shift clustering

• Implement mean-shift clustering with visual representation.

PCA on Yale Face Database

• Implement eigen faces by using the built-in function PCA in MATLAB and implement PCA by using svd and eig function in MATLAB.

Regression Exercises

• Implement linear regression, second order polynomial regression, higher-orders polynomial regression and error analysis for predicting news popularity. ( Dataset download from UCI Machine Learning Repository. )