搜索资源列表
kmedfilter
- 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
Yong
- 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
ClassifyHomework
- 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.
KNNMeanFilter
- 原理：以待处理的像素作为中心，取一个nXn的模板，在模板中选择k个与待处理像素的值最接近的像素，将这k个像素的均值替换原来的像素值。 假设n=3，k=5，调用方法：b = KNNMeanFilter(a, 3, 5)-Principle: to be treated as the center pixel, take a nXn template select the template and the pending k-nearest pixel values of pixels, thi
k-nearest
- FAST K-NEAREST NEIGHBORS SEARCH， Simple but very fast algorithm for nearest neighbors search in 2D space.
knn_classify
- 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
extendimage
- 根据模板大小对图像扩展，最近邻法，matlab-According to the template image size on expansion, k-nearest-neighbors, matlab
K
- 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
K-
- 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
KNN
- 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.
12341
- 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.
fknn
- Matlab Fuzzy k-Nearest Neighbor 分类算法-Fuzzy k-Nearest Neighbor Classification Algorithm
MinNearClasser
- 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
CK-1_Repro.v1.02
- 有时间序列方法和技术的兴趣大增。从人，自然收集的信息几乎每一件，和生物过程是容易随时间的变化，以及这些变化如何发生的研究是一个中心问题充分理解这样的过程。所有的时间序列数据挖掘任务的分类中，可能是最突出的一个。在时间序列的分类有大量的实证研究，在时间域表明近邻规则是非常有效的。然而，一定的时间序列特征不在这个领域很容易地识别和表达的变化可能揭示了一些重要的和未知的特征。在这项工作中我们提出了递归图的使用对于时间序列的分类表示域。我们的方法复发措施地块使用坎帕纳基奥之间的相似性（CK-1）的距离，
knn
- 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
knnfiltertest
- 用于图像处理的K近邻滤波器 可用于去除高斯滤噪声和椒盐噪声 并进行对比-K nearest neighbor filter to remove image noise
jinlin
- 最近邻法，K-近邻法，剪辑近邻法和压缩近邻法。模式识别-Nearest neighbor, K- nearest neighbor, editing and compression nearest neighbor nearest neighbor method. Pattern Recognition
K-Nearest-Neighbour-master
- KNN classification method by C-KNN classification
classification
- Iris数据的最近邻分类与k近邻分类程序，以及5路交叉验证，适合于新手学习，附有数据集-And nearest neighbor classification k-nearest neighbor classification procedure Iris data, as well as 5-way cross-validation, suitable for novices to learn, with data collection
image recognition
- 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