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code for K Nearest Neighbor algorithm in java
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K-Nearest Neighbor datamining code in java
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java实现KNN(k-Nearest Neighbor algorithm)算法,可以设置改变k值。-The code implement KNN（k-Nearest Neighbor algorithm）algorithm，and you can change the value of K.
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k-d树（k-dimensional树的简称），是一种分割k维数据空间的数据结构。主要应用于多维空间关键数据的搜索（如：范围搜索和最近邻搜索）。用java实现，可直接运行-kd-tree (k-dimensional tree for short), is a partition the data structure of k-dimensional data space. Mainly used in the search of the key data of the multidimensi
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基于kdtree的kmeans聚类算法，在选择最近邻中心点时使用kdtree的检索功能，提高了检索效率，特别是当k较大时，效果明显提升-kmeans clustering algorithm based on kdtree，used in selecting the center point of the nearest neighbor the kdtree retrieval function, and improve the retrieval efficiency has improve
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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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运用java 语言简单实现knn算法，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(Using java language simple implementation of KNN algorithm, neighbor algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simples
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