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Breast cancer detection using rank nearest neighbor classification rules

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Title: Breast cancer detection using rank nearest neighbor classification rules
Authors: Bagui, Subhash C.1, Bagui, Sikha2, Pal, Kuhu3, Pal, Nikhil R.4 nikhil@isical.ac.in
Source: Pattern Recognition. Jan2003, Vol. 36 Issue 1, p25. 10p.
Subjects: Nearest neighbor analysis (Statistics), Breast cancer diagnosis
Abstract: In this article, we propose a new generalization of the rank nearest neighbor (RNN) rule for multivariate data for diagnosis of breast cancer. We study the performance of this rule using two well known databases and compare the results with the conventional k-NN rule. We observe that this rule performed remarkably well, and the computational complexity of the proposed k-RNN is much less than the conventional k-NN rule. [Copyright &y& Elsevier]
Copyright of Pattern Recognition is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 7883535
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Breast cancer detection using rank nearest neighbor classification rules
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  Data: <searchLink fieldCode="AR" term="%22Bagui%2C+Subhash+C%2E%22">Bagui, Subhash C.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bagui%2C+Sikha%22">Bagui, Sikha</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Pal%2C+Kuhu%22">Pal, Kuhu</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Pal%2C+Nikhil+R%2E%22">Pal, Nikhil R.</searchLink><relatesTo>4</relatesTo><i> nikhil@isical.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Pattern+Recognition%22">Pattern Recognition</searchLink>. Jan2003, Vol. 36 Issue 1, p25. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Nearest+neighbor+analysis+%28Statistics%29%22">Nearest neighbor analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Breast+cancer+diagnosis%22">Breast cancer diagnosis</searchLink>
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  Data: In this article, we propose a new generalization of the rank nearest neighbor (RNN) rule for multivariate data for diagnosis of breast cancer. We study the performance of this rule using two well known databases and compare the results with the conventional <f>k</f>-NN rule. We observe that this rule performed remarkably well, and the computational complexity of the proposed <f>k</f>-RNN is much less than the conventional <f>k</f>-NN rule. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Pattern Recognition is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/S0031-3203(02)00044-4
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      – Code: eng
        Text: English
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        PageCount: 10
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      – SubjectFull: Nearest neighbor analysis (Statistics)
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      – SubjectFull: Breast cancer diagnosis
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      – TitleFull: Breast cancer detection using rank nearest neighbor classification rules
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            NameFull: Bagui, Subhash C.
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            NameFull: Bagui, Sikha
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            NameFull: Pal, Kuhu
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              Text: Jan2003
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              Y: 2003
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            – TitleFull: Pattern Recognition
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