Cluster analysis

in unsupervised learning; task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters)
English: Cluster analysis is the classification of objects into different groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined distance measure.



Cluster analysis examplesEdit

Density clustersEdit

Gaussian distributed dataEdit