Clustering

From Machinelearning
Revision as of 18:12, 31 March 2020 by Sebastian (talk | contribs)

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