About Clustering

In this practical introduction to Clustering, you’ll understand the importance of the similarity measure. Then you’ll cluster datasets using k-means by applying both manual and supervised similarity measures. Lastly, you’ll learn to evaluate your clustering results. The course also surveys different types of clustering algorithms and then examines the advantages and disadvantages of k-means in detail.