Clustering: Difference between revisions
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Some of the commonly used clustering algorithms are<ref name="pythonistaplanet">[https://pythonistaplanet.com/applications-of-unsupervised-learning/ Real World Applications of Unsupervised Learning]pythonistaplanet.com</ref>: | Some of the commonly used clustering algorithms are<ref name="pythonistaplanet">[https://pythonistaplanet.com/applications-of-unsupervised-learning/ Real World Applications of Unsupervised Learning]pythonistaplanet.com</ref>: | ||
* [[K- | * [[K-means clustering|K-means]]: | ||
* [[Expectation maximization]]: | * [[Expectation maximization]]: | ||
* [[Hierarchical cluster analysis]] (HCA): | * [[Hierarchical cluster analysis]] (HCA): | ||
Revision as of 17:02, 31 March 2020
Clustering is an unsupervised learning technique. It is used for grouping data points, or objects that are somehow similar.
Algorithms
Some of the commonly used clustering algorithms are[1]:
References
References
- ↑ Real World Applications of Unsupervised Learningpythonistaplanet.com