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2下载：
基于KNN算法的鸢尾花分类代码，可一直在matlab上运行。-Iris classification code based on the KNN algorithm, has been running in matlab.
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java 实现KNN文件分类器的源码javva 实现KNN文件分类器的源码
-java source javva KNN classification of documents to achieve the source code of the KNN classification of documents
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Knn算法综述、柔性KNN算法研究、一个高效的knn分类算法法、一种改进的KNN分类算法、一种优化的K最近邻协同过滤算法。
-The Knn algorithm summarized flexible KNN algorithm, an efficient knn classification algorithm method, an improved KNN classification algorithm, an optimized K nearest neighbor collabor
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基于KNN的增量学习算法相关文档，主要用于文本分类-KNN-based incremental learning algorithm related documentation, mainly for text classification
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KNN algorithm for dataset classification
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最邻近节点KNN算法的java编程实践，能够实现分类-Nearest node KNN algorithm java programming practice, be able to achieve the classification
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分类算法，包括KNN，SVM,Linear Regression, Naive Bayes四种-four algorithms of classification, includes KNN, SVM, Linear Regression, Naive Bayes
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matlab实现k均值分类，模式识别中的算法，共同学习！-matlab k-means classification, pattern recognition algorithms, learning together!
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用matlab实现K近邻算法，用于数据挖掘的分类-K-nearest neighbor algorithm for the classification of data mining using matlab
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文本分类的论文，在知网上下载的，现在共享，需要的可以下载，因为有的人在知网上下不了东西-Text Classification papers, in known online download, now share the need can be downloaded, not something some people up and down in the HowNet
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用matlab实现KNN算法 用matlab实现KNN算法 -using matlab to implement K-Nearest Neighbour classification. matlab matlab matlab matlab matlab KNN KNN KNN KNN KNN KNN KNN KNN KNN KNN KNN
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基于kdtree的KNN分类算法，利用kdtree在检索方面的优势有效地提高knn分类的性能，减小了分类的时间复杂度-Kdtree of KNN-based classification algorithm, using kdtree retrieval effectively improve knn classification performance, reducing the time complexity of the classification
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使用K近邻算法分类的代码，可返回分类的识别率-KNN Classification
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是K最邻近结点算法的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-The K nearest neighbor node algorithm abbreviated form of electronic information is a classification algorithm. KNN method based on the inclusion of data characteristic variable filter is particula
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使用java实现数据分类算法最近邻分算法knn，没有使用数据库，直接将数据存储在arraylist中-Using java nearest neighbor classification algorithm for data points algorithms knn, do not use a database, the data is stored directly in the arraylist
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K最邻近密度估计分类,K最邻近密度估计技术是一种分类方法，不是聚类方法。-K nearest neighbor classification density estimation, K nearest neighbor density estimation technique is a classification method, not the clustering method.
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最近邻和fisher分类matlab代码-Nearest neighborand and fisher classification matlab code
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基于PCA降维的KNN，最近邻分类matlab实现。-PCA dimensionality reduction based the KNN, the nearest neighbor classification matlab.
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基于Hadoop的KNN分类算法，在MapReduce框架下编写，集群环境下调试成功。-KNN classification algorithm based on Hadoop, MapReduce framework under preparation, cluster environment debugging success.
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机器学习K近邻分类算法，使用的是C++编程。如果一个样本在特征空间中的k个最相似(即特征空间中最邻近)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。-K-nearest neighbor classification machine learning algorithm, using the C++ programming. If a sample in feature space is k most similar (i.e., the feature space adjacent
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