A Survey of Grid Based Clustering Algorithms

Cluster Analysis, an automatic process to find similar objects from a database, is a fundamental operation in data mining. A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other clusters. Clustering techniques have been discussed extensively in similarity search, segmentation, statistics, machine learning, trend analysis, pattern recognition and classification. Clustering methods can be classified into: partitioning methods, hierarchical methods, density-based methods, grid-based methods and model-based methods.

Provided by: International Journal of Engineering Science and Technology (IJEST) Topic: Data Management Date Added: Aug 2010 Format: PDF

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