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Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
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knn分类算法 遥感图象分类
knn分类算法 遥感图象分类 -knn classify
k-nearest neighbor algorithm
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
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给出了一种基于距离的模糊隶属度定义形式，通过这种定义来改进K-近邻算法，得到一种自己定义的模糊K-近邻算法。同时本文中给出编程流程，编程思想以及实验结果。-A distance-based definition of fuzzy membership form, by this definition to improve K-nearest neighbor algorithm to obtain a defined fuzzy K-nearest neighbor algorithm. The
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Matlab Fuzzy k-Nearest Neighbor 分类算法-Fuzzy k-Nearest Neighbor Classification Algorithm
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k最邻近算法，经典的分类算法设计的分类器，灰常有用哦-k nearest neighbor algorithm, the classical classification algorithms classifier design, often with gray
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k近邻法的线性扫描算法的python详细代码，并附有详细注释-k nearest neighbor linear scanning algorithm python code in detail, along with detailed notes
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KNN K近邻算法 来自视觉机器学习中的代码-The KNN K Nearest Neighbor algorithm comes the code in the visual machine learning
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D MANUSC
Graph-optimized Locality Preserving Projections (GoLPP) algorithm [28]. GoLPP
integrated the graph construction and a specific dimensionality reduction process (i.e.
LPP) into a unified framework, which results in a simultaneous learni
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对人脸进行特征提取，并使用K近邻算法得其识别率(Feature extraction is performed on the face and its recognition rate is obtained using K nearest neighbor algorithm)
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