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A Novel Methods of Investigation on Bio-Medical Cancer Tissues using Advanced Clustering Techniques

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2015
Authors:
R. Satya Prasad, Marri. Suneetha, R. Mahesh
10.5120/ijca2015907059

Satya R Prasad, Marri. Suneetha and R Mahesh. Article: A Novel Methods of Investigation on Bio-Medical Cancer Tissues using Advanced Clustering Techniques. International Journal of Computer Applications 129(12):34-39, November 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {R. Satya Prasad and Marri. Suneetha and R. Mahesh},
	title = {Article: A Novel Methods of Investigation on Bio-Medical Cancer Tissues using Advanced Clustering Techniques},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {129},
	number = {12},
	pages = {34-39},
	month = {November},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

The paper investigates the performance of three often used clustering techniques, namely hierarchical cluster analysis, k-means and fuzzy c-means algorithms, in infrared analysis on seven oral cancerous FTIR datasets. The diagnostic results from clinical study are considered as the ‘gold standard’ in this paper the proposed system evaluates the clustering results from these three techniques. Corresponding experiments were carried out and the results showed that fuzzy c-means is the most suitable clustering method in this context.

References

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  6. Lasch, P., Haensch, W., Naumann, D., and Diem, M, 2004, "Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis", Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, vol. 1688, no. 2, pp. 176-186.

Keywords

clustering, FTIR, bio-medical.