Mathematics and Statistics Candidate Talk

November 14, 2019

Thursday, November 14, 2019, 4:00 PM, Davis 301
Refreshments at 3:30 PM, Davis 2nd floor

Exploring and Evaluating Patterns in Data Through Model-Based Clustering and Partition Agreement

Clustering is a method of unsupervised machine learning that seeks to uncover group structure in data by classifying observations when little or no a priori information about groups is available. In this talk, I will introduce the audience to statistical clustering with a special focus on model-based clustering and model assessment via partition agreement.

Posted November 11 at 11:05 am
Contact Kim Caswell
Posted By Kimberly Caswell