Improved constructive semi-supervised classification algorithm for handling the overlapping of hyperspheres

Arvind Singh Chandel; Aruna Tiwari; O. P. Patel

doi:10.1109/ICICICT.2014.6781265

Improved constructive semi-supervised classification algorithm for handling the overlapping of hyperspheres

Arvind Singh Chandel
, Aruna Tiwari
, O. P. Patel

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	130-133
Number of pages	4
DOIs	https://doi.org/10.1109/ICICICT.2014.6781265
Publication status	Published - 2014
Externally published	Yes
Event	2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014 - Ghaziabad, India Duration: 7 Feb 2014 → 8 Feb 2014

Conference

Conference	2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014
Country/Territory	India
City	Ghaziabad
Period	7/02/14 → 8/02/14

Keywords

Binary Neural Network
Geometrical Expansion
Hyperspheres (HS)
Overlapping
Semi-Supervised Classification

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10.1109/ICICICT.2014.6781265

Cite this

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title = "Improved constructive semi-supervised classification algorithm for handling the overlapping of hyperspheres",

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.",

keywords = "Binary Neural Network, Geometrical Expansion, Hyperspheres (HS), Overlapping, Semi-Supervised Classification",

author = "Chandel, \{Arvind Singh\} and Aruna Tiwari and Patel, \{O. P.\}",

year = "2014",

doi = "10.1109/ICICICT.2014.6781265",

language = "English",

pages = "130--133",

note = "2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014 ; Conference date: 07-02-2014 Through 08-02-2014",

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Improved constructive semi-supervised classification algorithm for handling the overlapping of hyperspheres. / Chandel, Arvind Singh; Tiwari, Aruna; Patel, O. P.
2014. 130-133 Paper presented at 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014, Ghaziabad, India.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Improved constructive semi-supervised classification algorithm for handling the overlapping of hyperspheres

AU - Chandel, Arvind Singh

AU - Tiwari, Aruna

AU - Patel, O. P.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Binary Neural Network

KW - Geometrical Expansion

KW - Hyperspheres (HS)

KW - Overlapping

KW - Semi-Supervised Classification

UR - https://www.scopus.com/pages/publications/84899049176

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DO - 10.1109/ICICICT.2014.6781265

M3 - Paper

AN - SCOPUS:84899049176

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T2 - 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014

Y2 - 7 February 2014 through 8 February 2014

ER -

Improved constructive semi-supervised classification algorithm for handling the overlapping of hyperspheres

Abstract

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Keywords

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