A Review of Clustering, its Types and Techniques


Authors : M. Jayaprabha, Dr.P. Felcy Judith.

Volume/Issue : Volume 3 - 2018, Issue 6 - June

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/6GLkf6

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Data Mining is a technique for organizing, analyzing and making decisions with raw data. Statistical data analysis plays a vital role in understanding and decision making. However analysis can be made using a technique called Clustering in data mining. Clustering is grouping or segregating a large data set into small groups for analysis. Clustering is used in various fields like image recognition, database management system, data analysis, augmented reality etc. This paper gives a review of the steps involved in converting a raw data into a knowledgeable data set, types of clustering and different stages involved in clustering. Also this paper involves a complete study of clustering with all the techniques and comparisons involved between different techniques. This study will be helpful for people to select a specific method and apply it for suitable environment.

CALL FOR PAPERS


Paper Submission Last Date
30 - September - 2021

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe