Study of Clusterization Methods for Random Data

Clustering is the process of grouping data object. Data sets within a cluster should be similar and data sets outside the cluster should be dissimilar. It is the commonest form of unsupervised learning i.e. learning from raw data. Data mining is a knowledge discovering process. Clusters are formed as a result of data mining process. In the recent years much work is been done on mining certain as well as uncertain data. Many algorithms exist for mining of certain data. Data mining process can also be used for random data. Data which is random in nature does not contain a particular pattern.

Provided by: International Journal of Engineering Research and Applications (IJERA) Topic: Big Data Date Added: Apr 2014 Format: PDF

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