Semi-supervised projected model-based clustering

Author： Guerra Luis Bielza Concha Robles Víctor Larrañaga Pedro

ISSN： 1384-5810

Source： Data Mining and Knowledge Discovery, Vol.28, Iss.4, 2014-07, pp. : 882-917

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Semi-supervised model-based document clustering: A comparative study

By Zhong Shi

Machine Learning, Vol. 65, Iss. 1, 2006-10 ,pp. : 3-29

Springer Publishing Company

Access to resources Recommend Favorite

Density-based semi-supervised clustering

By Ruiz Carlos

Data Mining and Knowledge Discovery, Vol. 21, Iss. 3, 2010-11 ,pp. : 345-370

Springer Publishing Company

Access to resources Recommend Favorite

Semi-supervised clustering algorithm for haplotype assembly problem based on MEC model

By Xu Xin-Shun Li Ying-Xin

International Journal of Data Mining and Bioinformatics, Vol. 6, Iss. 4, 2012-09 ,pp. : 429-446

Inderscience Publishers

Access to resources Recommend Favorite

A semi-supervised approach to projected clustering with applications to microarray data

By Yip Kevin Y. Cheung Lin Cheung David W. Jing Liping Ng Michael K.

International Journal of Data Mining and Bioinformatics, Vol. 3, Iss. 3, 2009-06 ,pp. : 229-259

Inderscience Publishers

Access to resources Recommend Favorite

Genetic algorithm–based training for semi-supervised SVM

By Adankon Mathias Cheriet Mohamed

Neural Computing & Applications, Vol. 19, Iss. 8, 2010-11 ,pp. : 1197-1206

Springer Publishing Company

Access to resources Recommend Favorite