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在visual basic环境下，实现k-nearest neighbor算法。-in visual basic environment, achieving k-nearest neighbor algorithm.
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KNN clustering with php
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K Nearest Neighbor algorithm Implementation and Overview
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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、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。-Algorithms Knn, flexible KNN algorithm, an efficient knn classification algorithm, an improved KNN classification algorithm, an optimized K-nearest neighbor collaborative filtering algorith
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源码完成了对数据的K近邻分类，并且可以计算正确率-Source completed the K-nearest neighbor classifier on the data and can calculate the correct rate
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In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
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K nearest neighbor algorithm
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查找二维和三维空间中K最近邻点的算法，在Approximate Nearest Neighbor Searching（ANN）的基础上进行了包装，易于使用。-Find the two-dimensional and three-dimensional space of K nearest neighbor algorithm, Approximate Nearest Neighbor Searching (ANN) based on the packaging.
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K-Nearest Neighbor, KNN algorithm classifier, with different complexity levels.
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K-NN k-Nearest Neighbor classification algorithm-K-NN k-Nearest Neighbor classification algorithm
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该程序实现K-均值聚类算法达到K-均值聚类的功能，与凝聚算法 最近邻聚类算法达到最邻聚类的功能。
-The program implements K- K- means clustering algorithm to achieve functional means clustering, and cohesion algorithm- nearest neighbor clustering algorithm to achieve the most-neighbor clustering.
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