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#ClusterAnalysis | A tutorial on Cluster Analysis using real-life examples. Learn the objective of cluster analysis, the methodology used and interpreting results from the same.

Cluster analysis is an exploratory data analysis tool which aims at sorting different objects into groups in a way that the degree of association between two objects is maximal if they belong to the same group and minimal otherwise.

Clustering methods can be classified into the following categories −

- Partitioning Method
- Hierarchical Clustering
- Density-based Method
- Grid-Based Method
- Model-Based Method
- Constraint-based Method

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