Study on Various Clustering Techniques

Abstract:The main aim of this review paper is to provide a comprehensive review of different clustering techniques in data mining. Clustering is the subject of active research in many fields such as statistics, pattern recognition and machine learning. Cluster Analysis is an excellent data mining tool for a large and multivariate database. Clustering is the one of data mining techniques in which data is divided into the groups of similar objects Clustering is a suitable example of unsupervised classification. Unsupervised means that clustering does not depends on pre defined classes and training examples during classifying the data objects. Classification refers to assigning data objects to a set of classes