Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4741
Title: Improved constructive semi-supervised classification algorithm for handling the overlapping of hyperspheres
Authors: Tiwari, Aruna
Keywords: Algorithms;Intelligent computing;Binary neural networks;Different class;Hyper-spheres;Overlapping;Overlapping regions;Semi-supervised classification;Supervised learning
Issue Date: 2014
Publisher: IEEE Computer Society
Citation: Chandel, A. S., Tiwari, A., & Patel, O. P. (2014). Improved constructive semi-supervised classification algorithm for handling the overlapping of hyperspheres. Paper presented at the Proceedings of the 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014, 130-133. doi:10.1109/ICICICT.2014.6781265
Abstract: An Improved Constructive Semi-Supervised Classification Algorithm (ICS-SCA) is proposed to handle the problem of overlapping among hyperspheres of different classes. The overlapping problem occurs in Constructive Semi-Supervised Classification Algorithm proposed in [1]. Unlike CS-SCA[1], approach proposed here handles the samples lying in overlapping region of hyperspheres belonging to the different classes while it allows the overlapping among hyperspheres belonging to the same classes. Proposed approach is tested with the datasets that were taken in CS-SCA[1] and improved results have shown in table. © 2014 IEEE.
URI: https://doi.org/10.1109/ICICICT.2014.6781265
https://dspace.iiti.ac.in/handle/123456789/4741
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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