KMeans Clustering
Explore the KMeans clustering algorithm used in unsupervised learning to group data points into clusters by minimizing distance from cluster centers. Understand how to initialize clusters, assign points, update centers, and assess cluster quality based on homogeneity and heterogeneity.
We'll cover the following...
We'll cover the following...
Clustering
Clustering is grouping the data points together such that items in one group are somehow related to one another. It is an unsupervised learning task because labels are not provided with the data.
Example:
- Group of blogs related to similar subjects
- Group of images representing the same topic (like nature, sports, etc.)
- Group of people that have similar interests
Input: Data ...