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KNN和贝叶斯文本分类,代码有点多,在运行的时候要提供训练文本-KNN and Bayesian text classification, code a little more run time to provide training text
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KNN算法实现 文本分类,C++实现-KNN text classification
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分别利用java和C++实现的KNN文本分类算法,每个程序模块都有详细注释-Respectively, the use of java and C++ implementation of KNN text classification algorithm, each program module has detailed notes
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SIFT等局部特征的词袋模型实现。包括K-means聚类,直方图特征的形成,以及KNN分类。-SIFT local features such as word bag model implementation. Including K-means clustering to form histogram features, and KNN classification.
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简单的 knn 文本算法 ,用于中文文本分类,比较方便的方法!-Simple text knn algorithm for Chinese text classification, more convenient way!
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近邻分类,属于模式识别类的。对两类数据分别产生高斯分布数据,用KNN算法看这个数属于哪个类的,并求测试数据和类中每个数据的欧氏距离-Neighbor classification, pattern recognition belongs to the class. Two types of data were generated Gaussian distribution data, to see with this number belongs KNN algorithm class and
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数据挖掘分类算法,依次执行数据预处理、朴素贝叶斯分类、KNN分类-classify algorithm for data mining.It contains data preprocess、Bayes classification and KNN classification.
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实现了KNN文本的分类,KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
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this code about classification with KKN algorithm
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关于度量学习的一篇经典文章,利用度量学习提高KNN的分类正确率,如果对度量学习有兴趣,这篇是必读的文章-Metric learning about a classic article, the use of metrics to improve learning KNN classification accuracy, if you are interested to measure learning, this is a must read article
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这是自己编的用KNN方法对产生的高斯数据进行分类的MATLAB程序,里面有高斯训练及测试数据的产生,还有分类,程序里有注释-This is their series with the KNN method to classify the Gaussian data generated MATLAB program, which has produced a Gaussian training and test data, as well as classification, program an
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这是一个分类算法,用python实现的。是一个很普遍但很好的分类。大家可以借鉴一下-This is a classification algorithm, using python implementation. Is a very common but very good classification. We can learn it
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K-NN k-Nearest Neighbor classification algorithm-K-NN k-Nearest Neighbor classification algorithm
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数据挖掘中的经典算法,机器学习领域常用的KNN临近学习算法,可用于文本向量分类等用途。-Classical data mining algorithms, machine learning algorithms commonly used KNN approaching learning can be used for text vector classification purposes.
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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。所谓K最近邻,就是k个最近的邻居的意思,说的是每个样本都可以用它最接近的k个邻居来代表。
kNN算法的核心思想是如果一个样本在特征空间中的k个最相邻的样本中的大多数属于某一个类别,则该样本也属于这个类别,并具有这个类别上样本的特性。该方法在确定分类决策上只依据最邻近的一个或者几个样本的类别来决定待分样本所属的类别。 kNN方法在类别决策时,只与极少量的相邻样本有关。由于kNN方
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通过KNN分类法,根据酒的某些性状信息对酒进行分类。然后,通过交叉验证对分类结果进行测试。最后,对数据进行主成分分析,再进行分类。-By KNN classification, according to certain traits information wine wine classification. Then, through cross-validation of the classification tested. Finally, principal component analy
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基于knn算法的遥感图像分类 源代码 算法测试-Remote sensing image classification based on knn algorithm Source code Algorithm testing
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用MATLAB实现的分类器,算法为KNN,分类效果较好。文件中提供了相关的测试集。-MATLAB classifier, the algorithm for KNN, classification effect is better File to provide the related test set
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实现了机器学习的算法最近邻分类,效果很好。大家可以试一下-Nearest neighbor classification
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knn classification for machine learning
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