Hard clustering: Difference between revisions

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Some hard clustering algorithms are:
Some hard clustering algorithms are:


* [[K-means clustering|K-Means]]: A famous hard clustering algorithm whereby the data items are clustered into K clusters such that each item only blogs to one cluster.<ref name="sd"/>
* [[K-means clustering|K-means]]: A famous hard clustering algorithm whereby the data items are clustered into K clusters such that each item only blogs to one cluster.<ref name="sd"/>


== References ==
== References ==

Revision as of 15:06, 14 April 2020

Hard clustering is a type of clustering which consists in grouping the data items such that each item is only assigned to one cluster.[1]

Algorithms

Some hard clustering algorithms are:

  • K-means: A famous hard clustering algorithm whereby the data items are clustered into K clusters such that each item only blogs to one cluster.[1]

References