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This repository aims to provide an overview of various clustering methods, along with practical examples and implementations.

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AbbasPak/Clustering-Methods-Examples

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Clustering-Methods-Examples

Clustering is a fundamental technique in unsupervised machine learning that involves grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar to each other than to those in other groups (clusters). The goal is to uncover the inherent structure in data without using pre-labeled responses.

Applications of Clustering:

  • Customer Segmentation: Identifying distinct groups of customers based on purchasing behavior.
  • Image Segmentation: Dividing an image into segments for analysis.
  • Anomaly Detection: Identifying unusual data points in a dataset.
  • Biological Data Analysis: Grouping genes or proteins with similar expression patterns.

This repository aims to provide an overview of various clustering methods, along with practical examples and implementations.

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This repository aims to provide an overview of various clustering methods, along with practical examples and implementations.

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