Working Principle of KMeans Clustering

The video tutorial explains the K-Means algorithm, a clustering technique in machine learning. It begins with an introduction to algorithms and a scatter plot example to illustrate data clustering. The tutorial details the K-Means process, including specifying the number of clusters, assigning centroids, and iteratively refining clusters by adjusting centroids based on mean values. It discusses the challenge of choosing the right number of clusters (K value) and introduces the elbow method as a solution. The video concludes with a summary and a reference to a project video for further learning.

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