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Journal article
The Statistical Classification of Breast Cancer Data
International Journal of Statistics and Applications, Vol.6(1), pp.15-22
2016
Abstract
In this article, we study the statistical classification of breast cancer of two well-known large breast cancer databases. We use various classification rules, such as linear, quadratic, logistic, k nearest neighbor (k-NN), and k rank nearest neighbor (k-RNN) rules and compare the performances. We also conduct feature analysis for both data sets using logistic regression model.
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- Title
- The Statistical Classification of Breast Cancer Data
- Publication Details
- International Journal of Statistics and Applications, Vol.6(1), pp.15-22
- Resource Type
- Journal article
- Publisher
- Scientific & Academic Publishing Co.; United States
- Format
- link
- Copyright
- Copyright © 2016 Scientific & Academic Publishing. All Rights Reserved.
- Identifiers
- 99380482996006600
- Academic Unit
- Mathematics and Statistics; Hal Marcus College of Science and Engineering ; Computer Science
- Language
- English