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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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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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In graph theory, breadth-first search (BFS) is a graph search algorithm that begins at the root node and explores all the neighboring nodes. Then for each of those nearest nodes, it explores their unexplored neighbor nodes, and so on, until it finds
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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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knn实现，详细的最近邻算法的实现方法，简单易懂-knn achieve detailed nearest neighbor algorithm, easy to understand
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K-Nearest Neighbor, KNN algorithm classifier, with different complexity levels.
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欧几里得距离是一种数学计算矩阵距离的算法，可用于图像分类时查找最近邻的距离。-Euclidean distance is a mathematical algorithm to calculate the distance matrix can be used for image classification when looking for the nearest neighbor distance.
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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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