A Comparative study on data mining clustering...

A Comparative study on data mining clustering algorithms

Author Name : Fenil Shah, Harsh Doshi, Malav Shah, Mitchell D’silva

ABSTRACT:  Clustering algorithms have proved to be effective and popular in recent times. These algorithms are required to separate similar data from the different ones. Many organizations use these clustering algorithms to extract knowledge from the datasets and generate results which help them to take vital decisions for the organization. Main algorithms in clustering technique include partitional based clustering algorithm, hierarchical clustering algorithm, DBScan algorithm. However, the main concern lies in selecting the type of algorithm to choose in certain specific situation. This paper gives an overview of different algorithms along with their advantages and disadvantages and lastly, these algorithms are compared based on certain parameters which can help to choose the type of algorithm to be used for different databases.