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Data partitioning or clustering of data is the process of grouping data that represent proximate collection of data elements based on the similarity of elements or distance. Identical clusters have zero distance or dissimilarity where as all other clusters have positive distance. All the elements grouped into a cluster share some similar property or characteristic. The criterion which defines the characteristic is totally dependent on implementation process. Sometime people get confused between the clustering and the classification. The classification is based on pre-defined classes where as in case of clustering we need to define that.
In digital world, data clustering or partitioning is the process of keeping together the logically similar kind of information. A better example of data partitioning is Library. In libraries, the books of similar type are kept in same shelf. The same concept implement for Data Partitioning or Clustering.
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