Clustering: Difference between revisions
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Some divide clustering into two subgroups<ref>[https://www.analyticsvidhya.com/blog/2016/11/an-introduction-to-clustering-and-different-methods-of-clustering/ An Introduction to Clustering and different methods of clustering]analyticsvidhya.com</ref>: | Some divide clustering into two subgroups<ref>[https://www.analyticsvidhya.com/blog/2016/11/an-introduction-to-clustering-and-different-methods-of-clustering/ An Introduction to Clustering and different methods of clustering]analyticsvidhya.com</ref>: | ||
* Hard | * Hard clustering: Each data point either belongs to a cluster completely or not. | ||
* Soft | * Soft clustering: A probability or likelihood is assigned for putting data points into separate clusters. | ||
== Algorithms == | == Algorithms == | ||
Revision as of 18:13, 31 March 2020
Clustering is an unsupervised learning technique. It is used for grouping data points, or objects that are somehow similar.
Types pof clustering
Some divide clustering into two subgroups[1]:
- Hard clustering: Each data point either belongs to a cluster completely or not.
- Soft clustering: A probability or likelihood is assigned for putting data points into separate clusters.
Algorithms
Some of the commonly used clustering algorithms are[2]:
References
References
- ↑ An Introduction to Clustering and different methods of clusteringanalyticsvidhya.com
- ↑ Real World Applications of Unsupervised Learningpythonistaplanet.com