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模式识别作业——用平均样本法,平均距离法,最近邻法和K近邻法进行分类-pattern recognition operations -- with the average sample, the average distance, nearest neighbor and K-nearest-neighbor classification
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K近邻中值(均值)滤波器
1) 以待处理像素为中心,作一个m*m的作用模板。
2) 在模板中,选择K个与待处理像素的灰度差为最小的像素。
3) 将这K个像素的灰度均值(中值)替换掉原来的像素值。
-K-nearest neighbor median (mean) a filter) for the pixel to be addressed, for a m * m role template. 2) In the template, select and K-pending p
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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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一个高效的k-d tree实现,可以广泛的应用与图形图像处理。-K nearest neighbor search based on KD-tree
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K近邻分类法的实现代码,是一个基于win32的非界面程序-code about k-nearest neighbor
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模式识别,用平均样本法、平均距离法、最近邻法、K近邻法进行分类。-Pattern recognition, with an average of the sample method, the average distance method, nearest neighbor, K-NN classification.
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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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近邻法的基本思想是在测试样本x的k个近邻中,按出现的样本类别来作为x的类别,即先对x的k个近邻一一找出它们的类别,然后对x类别进行判别,即在N个训练样本中,找出x的k个近邻。-The basic idea of the nearest neighbor method in the test sample x k nearest neighbors, according to the type of the sample of x as a category, that is, first k n
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一些典型的模式分类及聚类方法 包括k均值 FDA PCA LMS 贝叶斯 K近邻-The typical pattern classification and clustering methods including k-means FDA PCA LMS Bayesian K-nearest neighbor
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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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这是用MTTLAB编程,采用K近邻法对提取的水面漂浮物特征进行分类-This is programming MTTLAB, K-nearest neighbor method floats feature to classify the extracted water
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K近邻估计方法,采用可变大小的小舱的密度估计方法。-K-nearest neighbor estimation method, the size of a small cabin with variable density estimation method.
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K最邻近密度估计分类,K最邻近密度估计技术是一种分类方法,不是聚类方法。-K nearest neighbor classification density estimation, K nearest neighbor density estimation technique is a classification method, not the clustering method.
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最近邻分类器,采用matalb来进行k最近邻分类的方法,应用于模式识别。-Nearest neighbor classifiers using matalb for k nearest neighbor classification methods used in pattern recognition.
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knn k近邻算法,可选择欧式距离或者曼哈顿距离-knn k nearest neighbor, Euclidean distance or Manhattan can choose the distance
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K近邻c语言程序的简单应用 简单应用 -K-nearest neighbor c language program a simple application of a simple application of a simple application of a simple application
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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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matlab 分别利用邻域平均和K点平均对椒盐噪声图像,高斯噪声图像,乘性噪声图像进行处理,比较两者的差别-matlab use neighborhood were average and K-point average for salt and pepper noise image, Gaussian noise images, image processing multiplicative noise, compare the difference between the two
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分别采用有边缘和无边缘两类图像作为样本库,使用用Hu不变矩对图像进行特征提取,并使用K近邻分类法进行分类和识别。(Two types of images with edges and no edges are used as the sample library, the images are extracted using Hu invariant moments, and the images are classified and identified by K nearest neighb
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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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