Hard clustering

From Machinelearning

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