Clustering Analysis

The "Clustering Analysis" course introduces students to the fundamental concepts of unsupervised learning, focusing on clustering and dimension reduction techniques. Participants will explore various clustering methods, including partitioning, hierarchical, density-based, and grid-based clustering. Additionally, students will learn about Principal Component Analysis (PCA) for dimension reduction. Through interactive tutorials and [...]

In real life we face various classification problems, such as predicting whether an email is spam or not, or whether a credit card transaction is fraudulent or not, or what label the mobile phone should assign to the image it focuses on, perhaps a flower, a dog, a person [...]