Clustering
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What is Clustering?
Clustering is a way to automatically group similar data points together. Imagine you have a bunch of scattered objects and you want to organize them into piles based on how alike they are. Clustering algorithms do this by finding patterns in the data, grouping data points that are close to each other in some way, and separating them from data points that are further apart. The algorithm decides which data points belong to which group, without you telling it what the groups should be beforehand.
Free resources to learn Clustering
- ArticleClustering | scikit-learn
- ArticleWhat is clustering?
Clustering: common questions
Can I learn Clustering in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Clustering in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Clustering tutorial for beginners?
It is lesson 86 of 150 in the free Machine Learning roadmap, in stage 22, Clustering. If you are new to Machine Learning, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.