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贝叶斯线性分类器作业,模式识别,最小错误率线性分类器-Bayes classification,Linear classifier design,Pattern Recognition
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南京大学的多类标签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,可以充分利用类别信息。-Nanjing university class label KNN classifier, the pattern recognition is an important role, has a good classification effect, can make full use of class information.
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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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可以分别介绍度量距离的KNN分类器英文论文,有欧式和马氏距离。对模式识别十分重要的作用,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。-KNN classifier can respectively introduces measure distance English papers, style and markov distance. For pattern recognition is an important role, can help beginners a bet
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使用fisher准则进行模式分类,代码简单易懂,可作fisher分类器入门参考-Use fisher criterion for pattern classification, simple code to understand, can be used as introductions fisher classifier
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利用最小错分概率贝叶斯分类器进行图像分类的基本方法,将模式识别方法与图像处理技术相结合-The basic method of image classification using the minimum error probability Bias classifier, the pattern recognition method and image processing technology
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将模式识别方法与图像处理技术相结合,利用最小错分概率贝叶斯分类器进行图像分类-The pattern recognition method and image processing technology are combined, using the minimum error probability Bias classifier for image classification
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Program to implement bayesian linear classifier for pattern classification
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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matlab的模式识别基础实例源代码,包括贝叶斯分类器,Fisher线性判别,主成分分析,k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis, k-means clustering.
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学习模式识别的基本知识,经典的贝叶斯分类器,已经测试通过-Learn the basics of pattern recognition, the classic Bayesian classifier has been tested by
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模式识别中应用的贝叶斯分类器 可以用于分类IRIS数据-Application of pattern recognition Bayesian classifier can be used to classify IRIS data
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利用完整局部二值模式(CLBP)特征提取方法,svm和knn分类器分类进行表情识别的matlab程序源码。并且附有CLBP论文-With a complete local binary pattern (LBP) feature extraction method, svm classifier classification and knn expression recognition matlab program source code. And paper with CLBP
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线性分类器可以实现线性可分的类别之间的分类决策,其形式简单,分类决策快速。但在许多模式识别的实际问题中,两个类的样本之间并没有明确的分类决策边界,线性分类器(包括广义线性分类器)无法完成分类任务,此时需要采用其它有效的分类方法。贝叶斯分类器就是另一种非常常见和实用的统计模式识别方法。-Linear classifier can be realized linearly separable classification decision between classes in the form of
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在模式识别众多分类器中一种根据收敛性质实现的线性回归模型-In many pattern recognition classifier one according to the convergence property of the linear regression model
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模式分类之最小马氏距离分类器设计,对给出样本点进行分类处理-Minimum Mahalanobis distance classifier design pattern classification, the sample points are given for classification
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图像模式识别实例,包括模板匹配算法、Bayes分类器、LMSE等。-Image pattern recognition examples, including template matching algorithm, Bayes classifier, LMSE, etc..
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模式识别中Fisher、Bayes分类器设计-Design of Fisher and Bayes Classifier in Pattern Recognition
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模式识别中c均值聚类KN近邻法分类器设计-Design of c- means Clustering KN Nearest Neighbor Classifier in Pattern Recognition
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