What are the characteristics of different clustering techniques/methods ?

Characteristics of different clustering techniques/methods are :-

Characteristics of partitioning methods :-

• Find mutually exclusive clusters of spherical shape
• Distance-based
• May use mean or medoid to represent cluster center
• Effective for small to medium size data sets

Characteristics of hierarchical methods :-

• Clustering is a hierarchical decomposition (i.e., multiple levels)
• Cannot correct erroneous merges or splits
• May incorporate other techniques like micro clustering or consider object “linkages”

Characteristics of density-based methods :-

• Can find arbitrarily shaped clusters
• Clusters are dense regions of objects in space that are separated by low-density regions
• May filter out outliers

Characteristics of grid-based methods :-

• Use a multi resolution grid data structure
• Fast processing time