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2下载:
knn分类程序,基于matlab开发
-Commission classification procedure based on the development of Matlab
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knn,即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-knn, k-nearest neighbor pattern recognition algorithm is a relatively simple and classic classification algorithm
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基于不断学习的贝叶斯-KNN文本分类算法的设计与实现,给出原始几个类别的文本文件,通过机器学习,获取各个类别文本内容的主要特征,在这个基础上,给出待分类的文件库,系统通过自动分类,对文件库中的文本进行分类,把文件分配到最有可能的类别中。-based learning Bayesian-KNN text classification algorithm design and implementation given several types of the original text file,
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KNN K-nearest neighbor rule for classification
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ddtool,实现one class classification.包括gaussian 模型, gaussian 混合模型,Parzen density,knn,kmean,kcenter等方法,ddtool, the realization of one class classification. including the Gaussian model, gaussian mixture model, Parzen density, knn, kmean, kcenter methods
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knn算法,一种基于matlab的模式识别算法,使用分类识别。-KNN algorithm based on matlab, the pattern recognition algorithm, the use of classification and identification.
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对SVM多类分类算法进行了研究,总结了不同分类算法的优缺点。接下来本文提出了基于GA(遗传算法)和KNN(K近邻)的SVM多类分类算法-The SVM multi-class classification algorithms studied, summed up the advantages and disadvantages of different classification algorithms. The next paper, based on GA (genetic algorit
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KNN用于模式分类的很好的例子,供大家学习,希望对大家有帮助-KNN classification for a good example for all to learn. . .
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这是一个模式识别中的parzen窗的一个简单仿真分类实例,其中female.txt和male.txt是训练样本,test.txt是测试样本,分类效果非常好,对于模式学习的初学者将会有很大帮助。-This is a pattern recognition in a simple window parzen Category simulation examples, one of female.txt and male.txt training samples, test.txt is the me
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分别使用KNN,NB和SVM算法实现的分本分类的作业,内含数据集合以及详细的实验报告。-Text classification with method of KNN,NB and SVM。
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分类算法数字识别,KNN算法,
调用代码
import lyqKnn
from numpy import *
lyqKnn.handwritingClassTest()(Classification algorithm digital recognition)
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文本分类程序,很多的算法集合,还有各个算法的结果比较(Text classification procedures, the set of many algorithms and compare the results of the algorithm)
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邻近算法,或者说K最近邻(kNN,k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一(The adjacent algorithm, or the K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods in the data mining classification technique)
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通过K-NN(K临近)算法,python语言实现glass数据集的分类,压缩包里包括glass.txt数据集。(The classification of glass data sets by KNN algorithm)
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KNN实现python实现代码,结合数字数据集,实现数字的分类任务。(KNN implements the python implementation code and combines the digital data set to realize the classification task of the digital.)
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KNN文本分类算法(k nearest neighhor)使用knn实现样本分类(KNN(k nearest neighhor)classification)
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利用K近邻算法实现的文本分类器
提供分属于20个类别的20000个新闻文本,每个类别含1000个文本。(Text classification using KNN)
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分类算法,最近k临近算法,用于分类分析,属于数据处理(The classification algorithm, the nearest K approach, is used for classification analysis, which belongs to data processing.)
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KNN classification for test and train data
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基于matlab的KNN以及FISHER准则分类代码,附带算例。(Matlab based KNN and FISHER criteria classification code, with examples.)
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