Explain clustering algorithm.Clustering algorithm is used to group sets of data with similar characteristics also called as clusters. These clusters help in making faster decisions, and exploring data. The algorithm first identifies relationships in a dataset following which it generates a series of clusters based on the relationships. The process of creating clusters is iterative. The algorithm redefines the groupings to create clusters that better represent the data.
Explain clustering algorithm.Cluster consists of a group of objects which have similarities and dissimilarities between objects of different clusters. A clustering technique works as follows:
Exclusive:One cluster for one member
Overlapping:Many clusters for one cluster
ProbabilisticEvery cluster can contain one member with certain amount of probability
Hierarchical:Members are sub-divided into clusters at a lower level, thus following a hierarchy.