Classification of Clustering with Frequent item-sets

Data mining is having techniques like clustering, classification and algorithm like frequent itemset mining algorithms. In this we discuss about clustering and classification techniques with its applications and frequent itemset mining algorithm with its applications.

Cluster is the process for set of objects in cluster that objects are nearer to the center of cluster and far to other cluster and clustering is used to place the data elements into groups. Classification is the collection of records as training set and each record is having attributes. Frequent itemset algorithms are used for mining the frequent items of the transactions of the databases.

Index Terms— Data Mining, Clustering, Classification, Frequent itemset mining, Data Mining Applications