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搜索资源 - KNN classification
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knn算法实现的文本分类器,有界面,使用VS2010编写,能实现分类功能。-KNN algorithm to achieve the text classifier, the interface, the use of VS2010 to prepare, to achieve the classification function
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自己编写的一个分类小程序,实现了SVM和KNN算法,附件带有UCI数据集中的一些测试数据。-I have written a small program classification, to achieve the SVM and KNN algorithm, the attachment with some test data UCI dataset.
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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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这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码,同学们可以在此基础上学习和修改,入口程序已经写好,需要其他方法可以自己添加,MAIN.m是入口程序,参数的意思在子函数里讲的很明白,调用了featureselect_FW_fast.m用来属性约简,几个clsf_dpd文件是使用不同的距离公式来计算属性重要度,选择得到属性结果,使用crossvalidate.m十折交叉算法来计算计算算法精度,该段代码调用了几个分类器,C4_5.m是决策树,KNN.m是最近邻分类器,NEC.m是类似于KNN的
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matlab分类实验,包括了KNN和NB两种方法,并且提供了实验报告。-Matlab classification experiments, including KNN and NB two methods, and provides an experimental report.
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N3分类算法,基于KNN算法提出,但邻居识别方法不同。-the classification method of N3,it is proposed based on knn methods.
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classification using glcm and k-classification using glcm and knn
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统计机器学习经典分类算法MATLAB代码,付数据集。包括knn算法,逻辑斯蒂回归和朴素贝叶斯算法。-Classical statistical machine learning classification algorithm MATLAB code, pay dataset. Including knn algorithm, logistic regression and naive Bayes algorithm.
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Code for Classification Accuracy of KNN, C4.5 and SVM algo in R
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Validating binary classification with KNN algorithm
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ML-KNN,这是来自传统的K-近邻(KNN)算法。详细地,为每一个看不见的实例中,首先确定了训练集中的k近邻。之后,基于从标签集获得的统计信息。这些相邻的实例,即属于每个可能类的相邻实例的数量,最大后验(MAP)原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究,即酵母基因功能分析、自然场景分类和网页自动分类,表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
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k-mediod、knn、uci数据集。
数据挖掘、机器学习中的经典聚类、分类算法(K-mediod, KNN, and UCI data sets.
Data mining and classical clustering and classification algorithms in machine learning)
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Java实现机器学习经典分类算法,代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)
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PCA POUR REDUIRE LA TAILLE DES DONNEES ET APPLIAUER ENSUITE LA CLASSIFICATION AVEC LE KNN
KDDCUP99
TRAININSET TESTINGSET
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实现了机器学习的各种分类算法,如:knn,svm,朴素贝叶斯,神经网络,决策树等。(Various classification algorithms of machine learning, KNN, SVM, naive bayes, neural network, decision tree, etc.)
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To classify four types of skin diseases such as Dermatitis, Melanoma, Diabetic foot ulcer, Impetigo,2 types of ML algorithms KNN and SVM are used. To get a visual representation of classifier output the ROC curve is plotted. To measure the performanc
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