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Clustering means grouping any forms of data into characteristically similar groups of data-sets. In other words, Clustering is dividing data points into
homogeneous classes or clusters, such that the points in the same group are as similar as possible, while those in different groups are as dissimilar as possible.
When a collection of objects is given, they are divided into groups based on similarity.

Following are the topics covered in the video:

1. Clustering use Cases

2. Clustering use case - twitter

3. Clustering Basics

4. Types of Clustering

5. Sample Examples of Clustering

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