Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31440
Analysis of Diverse Clustering Tools in Data Mining

Authors: S. Sarumathi, N. Shanthi, M. Sharmila


Clustering in data mining is an unsupervised learning technique of aggregating the data objects into meaningful groups such that the intra cluster similarity of objects are maximized and inter cluster similarity of objects are minimized. Over the past decades several clustering tools were emerged in which clustering algorithms are inbuilt and are easier to use and extract the expected results. Data mining mainly deals with the huge databases that inflicts on cluster analysis and additional rigorous computational constraints. These challenges pave the way for the emergence of powerful expansive data mining clustering softwares. In this survey, a variety of clustering tools used in data mining are elucidated along with the pros and cons of each software.

Keywords: Cluster Analysis, Clustering Algorithms, Clustering Techniques, Association, Visualization.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1892


[1] Clustan Graphics Homepage (Online). Available at:
[2] Open Source Clustering software (Online). Available:
[3] Michael Eisen and Michiel de Hoon, "Cluster 3.0 Manual” University of Tokyo, Human Genome Center, 2002.
[4] Software: Clustering and Segmentation of data mining and analytics (Online).Available:
[5] Data mining-CViz Software-Data Mine Wiki (Online). Available:
[6] Neuro XL Clusterizer Software (Online). Available: products/excel-cluster-analysis-software/.
[7] perSimplex(Online).Available:
[8] Mikhail V. Kiselev "PolyAnalyst 2.0: Combination of Statistical Data pre-processing and Symbolic KDD Technique” Proceedings of ECML-95 Workshop on Statistics, Machine learning and Knowledge discovery in Databases. Heraklion Greece, pp 187-192, 1995.
[9] PermutMatrix Software (Online). Available:
[10] Gilles Caraux and Sylvie Pinloche "PermutMatrix: a graphical environment to arrange gene expression profiles in optimal linear order”, Bioinformatics Application Note, Vol.21 No. 7 pages 1280-1281 doi number: 10.1093/bioinformatics/bti141, 2005.
[11] Snob Software Homepage (Online). Available:
[12] Data mining-Auto Class C-Data Mine Wiki (Online). Available: C/
[13] AutoClassC Software Homepage (Online). Available:
[14] VisiSOM- Visipoint Software homepage (Online). Available: