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Clustering

Steps

  1. Overview
  2. Pre-requisites
  3. Key Choices and Guidelines
  4. Implementation

1 Overview​

Description​

Clustering aims to partition a dataset into subsets (clusters), such that data points within the same cluster exhibit high intra-cluster similarity, while points in different clusters exhibit low inter-cluster similarity.

Expected Outcome​

In essence, the clustering model outputs a partition of dataset into groups that share similar characteristics

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