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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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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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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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自适应空间球的k邻域快速搜索算法，利用空间微分块与动态球策略的k近邻搜索算法研究-Origianl-Adaptive spatial neighborhood k ball fast search algorithm, differential block the use of space and dynamic ball strategy k nearest neighbor search algorithm-Origianl
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its a machine learning programme which uses k nearest neighbor algorithm, find the distances between the k features point and plots the graph.
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包括基本的克里金(Kriging)插值法实现代码，仅实现基本方法部分，不包含扩展克里金方法- kriging uses ordinary kriging to interpolate a variable z measured at
locations with the coordinates x and y at unsampled locations xi, yi.
The function requires the variable vstruct
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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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简单的手写体字符识别，利用了k近邻和支持向量机算法(Simple handwritten character recognition, using the k nearest neighbor and support vector machine algorithm)
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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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针对人脸特征分类问题，提出一种基于主动形状模型(ASM)和 K 近邻算法的人脸脸型分类方法。将 Hausdorff 距离作为 K 近邻算法的距离函数，利用 ASM 算法提取待测图像的特征点，对点集进行归一化后计算人脸轮廓特征点与样本库中所有样本点集的 Hausdorff距离，根据该距离值，通过 K 近邻算法实现待测图像的脸型分类。实验结果证明，该方法分类正确率高、速度快、易于实现。(Aiming at the problem of face feature classification, thi
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