|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 139 - Number 9
|Year of Publication: 2016
|Authors: Parneet Kaur, Kamaljit Kaur
Parneet Kaur, Kamaljit Kaur . Clustering Techniques in Data Mining For Improving Software Architecture: A Review. International Journal of Computer Applications. 139, 9 ( April 2016), 35-39. DOI=10.5120/ijca2016909303
Data mining is a set of problem solving skills, instructions and methods applied upon variety of domains to discover and create useful systems that are used to solve practical problems. Clustering technique defines classes and put objects which are related to them in one class on the other hand in classification objects are placed in predefined classes. There are many clustering techniques for the improvement of architecture which are discussed in this paper. This paper also gives comparative study of clustering techniques and addresses benefits and limitations of clustering techniques.