ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Multi Label Classification of Discrete Data

Akhand, Bhupesh and Devi, Susheela V (2013) Multi Label Classification of Discrete Data. In: IEEE International Conference on Fuzzy Systems (FUZZ), JUL 07-10, 2013, Hyderabad, INDIA.

[img] PDF
ieee_int_con_fuz_sys_2013.pdf - Published Version
Restricted to Registered users only

Download (299kB) | Request a copy
Official URL: http://dx.doi.org/10.1109/FUZZ-IEEE.2013.6622574


The paper describes an algorithm for multi-label classification. Since a pattern can belong to more than one class, the task of classifying a test pattern is a challenging one. We propose a new algorithm to carry out multi-label classification which works for discrete data. We have implemented the algorithm and presented the results for different multi-label data sets. The results have been compared with the algorithm multi-label KNN or ML-KNN and found to give good results.

Item Type: Conference Proceedings
Series.: IEEE International Conference on Fuzzy Systems
Publisher: IEEE
Additional Information: Copyright for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: multi-label classification; fuzzy pattern recognition
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 11 Jun 2014 10:34
Last Modified: 11 Jun 2014 10:34
URI: http://eprints.iisc.ac.in/id/eprint/49203

Actions (login required)

View Item View Item