Survey On Different Grid Based Clustering Algorithms Of Data Mining

Nidhi Ashwin Shah; Rajkumar Paul

Survey On Different Grid Based Clustering Algorithms Of Data Mining

February 2017

Vol-3, Issue-1

Paper ID: 3786

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science & Engineering Department

Keywords

Data mining KDD Clustering grid GRPDBSCAN GDILC GGCA OPT-GRID(S) STING CLIQUE

Abstract

Data mining is the method of finding the useful information in huge data repositories and transform it into an understandable form for further use. Clustering is important in data analysis and data mining applications. Clustering is a fundamental unsupervised data mining technique which is loosely defined as a process of arranging data objects into clusters based on similarity measures. These days the clustering plays a major role in every day-to-day application. Grid-based methods are highly popular compared to the other conventional models due to their computational efficiency but to find optimal grid size is a key feature in grid-based clustering algorithm. There exists some algorithm in that they achieve optimal grid size but in real life data can be dense or sparse.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Nidhi Ashwin Shah	Vedica Institute Of Technology
2	Rajkumar Paul	Vedica Institute Of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Shah, Nidhi Ashwin & Paul, Rajkumar (2017). Survey On Different Grid Based Clustering Algorithms Of Data Mining. International Journal of Advance Research and Innovative Ideas In Education, 3(1), 1118-1123.

MLA Style

Shah, Nidhi Ashwin, and Rajkumar Paul. "Survey On Different Grid Based Clustering Algorithms Of Data Mining." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, 2017, pp. 1118-1123.

IEEE Style

Nidhi Ashwin Shah and Rajkumar Paul, "Survey On Different Grid Based Clustering Algorithms Of Data Mining," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, pp. 1118-1123, 2017.

Vancouver Style

Shah Nidhi Ashwin, Paul Rajkumar. Survey On Different Grid Based Clustering Algorithms Of Data Mining. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(1):1118-1123.

Harvard Style

Shah, Nidhi Ashwin & Paul, Rajkumar (2017) 'Survey On Different Grid Based Clustering Algorithms Of Data Mining', International Journal of Advance Research and Innovative Ideas In Education, 3(1), pp. 1118-1123.

Chicago Style

Shah, Nidhi Ashwin and Rajkumar Paul. "Survey On Different Grid Based Clustering Algorithms Of Data Mining." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1118-1123.

Turabian Style

Shah, Nidhi Ashwin and Rajkumar Paul. "Survey On Different Grid Based Clustering Algorithms Of Data Mining." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1118-1123.