• Mrs.M.Dukitha
• Dr.A.Banumathi

Clustering and classification of data is a difficult problem that is related to various and applications. Challenge is greater as input space size become larger and feature scales are different from each other. The term “classification” is often used as an algorithm program for all data mining tasks. Instead, it is best to use the term to refer to the group of supervised learning algorithms used to search interesting data patterns. While classification algorithms become very hip and ubiquitous in data processing analysis, it is just but one of the many types of algorithms available to solve a specific type of data mining task. In this paper various clustering and classification algorithms are going to be address in detail. A detailed review on existing algorithms will be complete and the scalability of some of the existing classification algorithms will be examine.

Data mining, clustering, classification, supervised learning, scalability.

"CLUSTERING AND CLASSIFICATION ALGORITHMS IN DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 9, page no.77-80, September 2019, Available :http://www.jetir.org/papers/JETIRDD06015.pdf

"CLUSTERING AND CLASSIFICATION ALGORITHMS IN DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 9, page no. pp77-80, September 2019, Available at : http://www.jetir.org/papers/JETIRDD06015.pdf