Cluster analysis is used to define the object without giving the class label. It analyzes all the data that is present in the data warehouse and compare the cluster with the cluster that is already running. It performs the task of assigning some set of objects into the groups also known as clusters. It is used to perform the data mining job using the technique like statistical data analysis. It includes all the information and knowledge around many fields like machine learning, pattern recognition, image analysis and bio-informatics. Cluster analysis performs the iterative process of knowledge discovery and includes trials and failures. It is used with the pre-processing and other parameters as a result to achieve the properties that are desired to be used.

Purpose of cluster analysis :-

☛ Scalability

☛ Ability to deal with different kinds of attributes

☛ Discovery of clusters with attribute shape

☛ High dimensionality

☛ Ability to deal with noisy

☛ Interpretability