Machine Learning

10 Clustering Algorithms With Python

Last Updated on August 20, 2020

Clustering or cluster analysis is an unsupervised learning problem.

It is often used as a data analysis technique for discovering interesting patterns in data, such as groups of customers based on their behavior.

There are many clustering algorithms to choose from and no single best clustering algorithm for all cases. Instead, it is a good idea to explore a range of clustering algorithms and different configurations for each algorithm.

In this tutorial, you will discover how to fit and use top clustering algorithms in python.

After completing this tutorial, you will know:

  • Clustering is an unsupervised problem of finding natural groups in the feature space of input data.
  • There are many different clustering algorithms and no single best method for all datasets.
  • How to implement, fit, and use top clustering algorithms in Python with the scikit-learn machine learning library.

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