Pattern Recognition Toolbox
The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a framework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use.
Create a data set from your data (X ~ N x F) and labels (Y ~ N x 1):
ds = prtDataSetClass(X,Y);
and run Z-score normalization + an SVM:
algo = prtPreProcZmuv + prtClassLibSvm;
dsOut = algo.kfolds(ds);
And score the results:
prtScoreRoc(dsOut);
It's that easy. It's free. Have fun.
Installation instructions:
http://newfolder.github.io/prtdoc/prtDocInstallation.html
Additional documentation & (rarely updated) blog available here:
http://newfolder.github.io/
인용 양식
Peter (2026). Pattern Recognition Toolbox (https://github.com/covartech/PRT), GitHub. 검색 날짜: .
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- AI and Statistics > Statistics and Machine Learning Toolbox >
- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Pattern Recognition >
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GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음
| 버전 | 게시됨 | 릴리스 정보 | |
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| 1.3.0.0 | Added PNG logo, updated comments and tags |
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| 1.2.0.0 | fixed links to blog and documentation |
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| 1.1.0.0 | added link to documentation and installation instructions |
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| 1.0.0.0 |
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