Data Science - Part VII - Cluster Analysis

For downloadable versions of these lectures, please go to the following link:

This lecture provides an overview of clustering techniques, including K-Means, Hierarchical Clustering, and Gaussian Mixed Models. We will go through some methods of calibration and diagnostics and then apply the technique on a recognizable dataset.

[angelahitchens]

Thank you Derek. I have been reading this stuff over and over for the past six weeks and thanks to PART VI and VII I am finally able to make sense of Association Rules and Clustering.

[akrsrivastava]

You have a good set of tutorials on Data Science. I wish there was no background noise in your videos. It makes concentrating and understanding so much difficult. Also I would have liked some R code when you get in the practical application section of your videos. Thanks anyways for your great videos.

[hunhwasong]

Thanks always. I keep watching your videos to study data analysis.

[ahmadalbaik]

Many Thanks Mr.Derek, it's useful lecture,
wish if the sound was higher, ....

[jasonkever]

wish I could hear what you were saying, way too much background noise

[chadrob]

Your voice is almost indiscernible due to background noise. :(