Clustering

From Machinelearning

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