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在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
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本资源用matlab代码实现了模式识别的线性分类器，对于线性可分的模式能够正确分类。-The resources used matlab code to achieve a pattern recognition linear classifier, for linearly separable model can correctly classified.
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[1] Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer and Min Jun Kim,
Tracking Tetrahymena Pyriformis Cells using Decision Trees ,
2012 21st International Conference on Pattern Recognition (ICPR),
Pages 1843-1847, 11-15 Nov. 2012.
[2] Q
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分类算法中k均值分类算法，可以用于简单的模式识别中去。-Classification algorithm of k-means classification algorithm, which can be used in a simple pattern recognition.
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it s matlab code for Euclidian distane in data miningin pattern recognition
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主成分分析、Fisher判别法与支持向量机在模式识别中的应用-Application of principal component analysis, Fisher discriminant analysis and support vector machine in pattern recognition
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模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
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模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
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模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
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模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
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数据分类，支持向量机，主要应用于监控识别系统共，值得一看，值得一学。-Pattern recognition, license plate number to extract, mainly used in monitoring identification system altogether, worth a visit, it is worth learning.
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一种分类算法工具箱，可以进行人脸识别，对模式识别和分类算法很有用-A classification algorithm toolbox, face recognition, pattern recognition and classification algorithms useful
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应用主成分分析对数据降维，将得到的数据用于概率神经网络训练，进行模式识别。对于一组新数据，先计算主成分得分，再输入训练好的概率神经网络，就会得到识别结果，即改组数据属于何种类别。-Principal component analysis of the data reduction, data will be obtained for the probabilistic neural network training, pattern recognition. For a new set of d
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贝叶斯网络的介绍及其在数据挖掘和模式识别中的应用-Introduction Bayesian network and its application in data mining and pattern recognition
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可以demo的KNN分类器，对模式识别十分重要的作用，有着较好的分类效果，可以帮助新手更好的理解KNN原理，对人脸识别有着很好的演示作用。-Can demo KNN classifier, the pattern recognition is an important role, has a good classification effect, can help beginners a better understanding of KNN principle, has a very good
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可以分别设置度量距离的KNN分类器，有欧式和马氏距离。对模式识别十分重要的作用，有着较好的分类效果，可以帮助新手更好的理解KNN原理，对人脸识别有着很好的演示作用。-Distance can be set respectively KNN classifier, style and markov distance. For pattern recognition is an important role, has a good classification effect, can help be
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按照模式识别一书，实现k均值聚类的matlab版本代码-According to the book Pattern Recognition , implement k-means clustering matlab version of the code
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KNN算法，用于数据挖掘中数据离散化处理-K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning
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基于bagging算法的C++程序，包括matlab程序的结合。代码简单易懂，适合模式识别的初学者。-Based bagging algorithm C++ procedures, including combining matlab program. Code is easy to understand for beginners pattern recognition.
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在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
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