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Clustering Techniques in Data Mining For Improving Software Architecture: A Review
Author(s) -
Parneet Kaur,
Kamaljit Kaur
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016909303
Subject(s) - computer science , cluster analysis , data mining , software , architecture , data science , software engineering , information retrieval , artificial intelligence , operating system , art , visual arts
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.

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