A novel hybrid approach of feature selection through feature clustering using microarray gene expression data

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A novel hybrid approach of feature selection through feature clustering using microarray gene expression data

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง	:	A novel hybrid approach of feature selection through feature clustering using microarray gene expression data
นักวิจัย	:	Wahid, Choudhury. , Ali, Shawkat. , Tickle, Kevin.
คำค้น	:	Pattern recognition systems. , Pure basic research. , 890202 Application Tools and System Utilities. , 080105 Expert Systems. , 080109 Pattern Recognition and Data Mining. , Data mining. , Neural networks (Computer science) , Data mining -- Microarray gene expression data -- Feature selection -- Hybrid methods
หน่วยงาน	:	Central Queensland University, Australia
ผู้ร่วมงาน	:	-
ปีพิมพ์	:	2554
อ้างอิง	:	http://hdl.cqu.edu.au/10018/918612
ที่มา	:	Wahid, C, Shawkat Ali, A & Tickle, K 2011, 'A Novel hybrid approach of feature selection through feature clustering using microarray gene expression data', paper presented to the 11th International Conference on Hybrid Intelligent Systems, Malacca, Malaysia, December 5-8, http://dx.doi.org/10.1109/HIS.2011.6122091
ความเชี่ยวชาญ	:	-
ความสัมพันธ์	:	Proceedings of the 11th International Conference on Hybrid Intelligent Systems (HIS 2011), Malacca, Malaysia, December 5-8, 2011. USA : IEEE, 2011. p. 121-126 6 pages Refereed , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา	:	-
บทคัดย่อ/คำอธิบาย	:	Hybrid methods for feature selection comprised of combination of filter and wrapper approaches have recently been emerged as strong techniques for the problem in this domain. In this work we have proposed three simple hybrid approaches for reducing data dimensionality while maintaining classification accuracy which combine our basic feature selection through feature clustering (FSFC) approach to other standard approaches of feature selection in different orientation. We have employed popular ROC curve analysis to evaluate experimental outcome. Our experimental results clearly show suitability of our methods in hybrid approaches of feature selection in micro-array gene expression domain.
บรรณานุกรม	:	APA Chicago MLA Vancouver Wahid, Choudhury. , Ali, Shawkat. , Tickle, Kevin. . (2554). A novel hybrid approach of feature selection through feature clustering using microarray gene expression data. กรุงเทพมหานคร : Central Queensland University, Australia. Wahid, Choudhury. , Ali, Shawkat. , Tickle, Kevin. . 2554. "A novel hybrid approach of feature selection through feature clustering using microarray gene expression data". กรุงเทพมหานคร : Central Queensland University, Australia. Wahid, Choudhury. , Ali, Shawkat. , Tickle, Kevin. . "A novel hybrid approach of feature selection through feature clustering using microarray gene expression data." กรุงเทพมหานคร : Central Queensland University, Australia, 2554. Print. Wahid, Choudhury. , Ali, Shawkat. , Tickle, Kevin. . A novel hybrid approach of feature selection through feature clustering using microarray gene expression data. กรุงเทพมหานคร : Central Queensland University, Australia; 2554.