### Comprehensive Study of Hierarchical Clustering Algorithm and Comparison with Different Clustering Algorithms

#### Abstract

#### Keywords

#### Full Text:

PDF#### References

V. Vapnik. The Nature of Statistical Learning Theory. Springer, N.Y., 1995. ISBN 0-387-94559-8.

S. S. Keerthi, S. K. Shevade, C. Bhattacharyya, K. R. K. Murthy Improvements to Platt‟s SMO Algorithm for SVM Classifier Design

www.cise.ufl.edu/~jmishra/clustering

http://www.cise.ufl.edu/~jmishra/

http://scholar.google.co.in/scholar?q=parameter+of+hierarchical+clustering+algorithms&hl=en&as_sdt=0&as_vis=1&oi=scholart

http://stat.ethz.ch/R-manual/R-devel/library/cluster/html/agnes.html

T.Hastie, R.Tibshirani, J.Friedman. “The Elements of Statistical Learning- Data Mining,Inference, Prediction.” Springer Verlag.

en.wikipedia.org/wiki/Cluster_analysis

citeseerx.ist.psu.edu/viewdoc/

msdn.microsoft.com/en-us/library/ms174879.aspx

http://ieeexplore.ieee.org

http://en.wikipedia.org/wiki/Computer_cluster

http://www.springerlink.com/

http://www.google.com/

Data Mining Concept and Techniques

by Jiawei Han And Micheline Kamber

Alexandros Karatzoglou, Alex Smola, Kurt Hornik , kernlab – An S4 Package for Kernel Methods in R

### Refbacks

- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution 3.0 License.