# Lectures

- Lecture 1, Tuesday Aug 22nd: course introduction, What is clustering?.
- Lecture 2, Thursday Aug 24th: Clustering, Single-Link Algorithm.
Lecture notes.
- Lecture 3, Tuesday Aug 29th: Single-Link Algorithm, K-means clustering.
Lecture notes.
- Lecture 4, Thursday Aug 31st: K-means clustering

Matlab demo script here..
- Lecture 5, Tuesday Sep 5th: Gaussian Mixture Models

- Lecture 6, Tuesday Sep 7th: Gaussian Mixture Models

- Lecture 7, Tuesday Sep 12th: Gaussian Mixture Models

- Lecture 8, Thrusday Sep 14th: Mixture Models and Dimensionality Reduction

Demo code matlab here.

Lecture notes for Ellipsoidal clustering and Gaussian mixture models.
- Lecture 9, Tuesday Sep 19th: Principal Components Analysis (PCA)

Demo code matlab here.

Lecture notes for PCA.
- Lecture 10, Thursday Sep 21st: Principal Components Analysis (PCA) and Random Projections

Lecture notes for random projections.