搜索资源列表
PatternRecognition
- 模式识别中的k-mean和isodata算法的简单实现-k-mean and isodata algorithm in pattern recognition
K_MEAN
- 数据挖掘经典算法实现 （C语言版）K-MEAN的demo-Data mining the Classic algorithm (C language version) K-Mean demo
K_Mean
- K-mean图片分割代码,针对对分割算法初学者，有研究意义，便于理解k-mean算法思想-K-mean segmetion
K_means_color_segmentation
- k-mean算法，对入学者有研究意义，可以了解图像的分割算法基本原理-k-mean algorithm, enrollment research, you can learn the basic principles of image segmentation
New-folder
- Brain Tumor Segmentation Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm
K-L-change
- 不考虑类别信息对整个样本集进行K-L变换 利用类平均向量提取判别信息-Does not consider the category information for the entire sample set KL transform the use of mean vector to extract discriminant information
K
- 图像处理--均值滤波处理， 小波变换，Sobel算子进行边缘提取-Image processing- mean filter processing, filtering processing, wavelet transform, Sobel operator edge extraction.
Kmean1
- 用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割--For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition
clustersuvey
- 讲解了分层次聚类法、最简单聚类法、最大距离样本、K平均聚类法、叠代自组织聚类法、ISODATA法的改进等-Explain the hierarchical clustering method, the simplest clustering method, the maximum distance the sample, K mean clustering method, self-organizing clustering iterative method, ISODATA method of
gpu -kmean
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important2
- 基于聚类的径向基神经网络的设计算法，采用的是K均值聚类。实现函数拟合！-The design algorithm of radial basis function neural network based on clustering, using the K mean clustering. Realize the function fitting!
kmeansClusters
- Image segmentation k mean clustering
amend1
- 用C语言实现的K均值聚类算法，一共有3个类，并且给出了150个样本点，样本点为四维数据-Those files implements the function of classifying the four dimensional data by using the K-mean algorithm.
Untitled
- k-mean算法，使用matlab工具箱工具对图像进行聚类分割。-k-mean algorithm, using matlab clustering toolbox tool for image segmentation.
Untitled2
- k-mean算法，使用matlab工具箱工具对图像进行聚类分割。-k-mean algorithm, using matlab clustering toolbox tool for image segmentation.
K-Mean
- Kmeans 聚类算法的实现 测试， 内部包含 Kmode选项-Implementation of Kmeans cluster algorithm and testing, internal options include Kmode
kMeanExtract
- 本代码是基于k-mean聚类的关键帧提取代码，是用matlab来实现的。-The code is based on k-mean clustering key frame extraction code, using matlab to achieve.
k_mean
- k-mean算法实现，总要是完成数据的聚类，寻找中心点的程序！-k-mean algorithm, if the completion of the total clustering of data, find the center of the program!
background-model3
- 针对背景差法易受外界环境因素影响的缺点, 提出了一种基于改进K-均值聚类的背景建模方法。通过比较任意样本与该像素位置处的子类中心之间的距离, 对各个像素的观察值进行聚类, 并在聚类过程中逐步确定其类别数。一段时间的学习之后, 样本数最多的子类就构成了背景模型。仿真结果表明, 该算法即使在运动目标存在的情况下也能准确的提取出实际的 背景, 而且显著地降低了系统的存储量。-Aimed at the disadvantage that background subtraction was liab
FCM
- 自己实现的，模糊C均值聚类的代码，在K-mean上添加了隶属度矩阵。注释详细，方便理解算法步骤-my implementation, Fuzzy C-Means clustering code in the K-mean adding a membership matrix. Notes detailed, easy to understand algorithm steps