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FCM_clust
- 本文在阐述聚类分析方法的基础上重点研究FCM聚类算法。FCM算法是一种基于划分的聚类算法，它的思想是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。最后基于MATLAB实现了对图像信息的聚类。- This paper describes the basis of cluster analysis methods and focus on the FCM clustering algorithm. FCM algorithm is a clustering algorithm b
kmeans
- 数据挖掘kmeans图像聚类实验代码 用 VC 或 Java 实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验） 提交实验报告与源代码。-VC or Java k-means clustering algorithm, were no longer change the number of iterations and the allocation
C-Mean
- 本程序是基于c均值聚类的图像分割 开发环境 vs2008 语言c#-This procedure is based on the c-means clustering image segmentation development environment vs2008 language c#
fuzzy_c_mean
- 本程序对二维图像可实现模糊C均值聚类，默认聚类为4.-The procedures for the two-dimensional image can be realized fuzzy C-means clustering, the default clustering for 4.
kmeans_cluster_recognization
- kmeans聚类，彩色图像分割，形态学处理，标记水果-kmeans clustering, color image segmentation, morphological processing, labeled fruit
k_mean_uv
- 利用k—mean算法根据U、V进行聚类分块，最后完成图像分割，分割出得块用不同的灰度等级表示出来。-K-mean algorithm to cluster sub-blocks according to the U, V, to finalize the image segmentation, segmentation have blocks with different gray levels represented.
k_mean_seg
- 利用k均值算法对图像色彩进行聚类分割，将图像中色彩相近的分割成一块。一种很好的图像分割算法。-K-means clustering segmentation algorithm for image color, the color in the image is divided into a similar. A good image segmentation algorithm.
kmeans_seg
- 基于K-means聚类的图像分割算法，想法比较简单，实现很方便，运行速度很快，有例图。-Image segmentation based on K-means clustering algorithm, the idea is relatively simple, very convenient, fast run case diagram.
BRMM
- 基于贝叶斯混合模型的特征提起模型，可用于图像数据聚类，特征识别。-Constructs a Bayesian robust mixture model with a given number of mixture components and observable features.
DSNew
- 基于Delaunay算法的图像分割及像素聚类模型，可自适应估计聚类数，是一种有效的图像分割算法。-This function applies the Delaunay-based image segmentation, which is a fully automated process that does not require initial estimate of number of clusters.
EM_GMM_3d
- 基于Expectation Maximization算法优化的高斯混合模型在3D图像数据聚类中的应用。-This is a 3D visualization of how the Expectation Maximization algorithm learns a Gaussian Mixture Model for 3-dimensional data.
SpectralClustering
- 基于谱聚类的新数据聚类算法，可用于一般的时间序列数据聚类及图像分割方面的应用，还包含相应的文章和算法说明。-Executes the spectral clustering algorithm defined by type on the adjacency matrix W and returns the k cluster indicator vectors as columns in C.
cluster-3.6.6
- 基于混合高斯的无监督聚类程序，对数据聚类、图像分割等都具有参考意义-An Unsupervised Algorithm for Modeling Gaussian Mixtures
SLIC_SuperPixel
- 基于K-means聚类的超像素分割，可用于图像处理和模式识别-superpixel segmentation
k_means-clustering-algorithm-program
- 可以很好的将一个图像矩阵进行聚类，生成一个聚类后的图像。-A based on the matlab image k-means clustering algorithm program
dibapp
- 数字图像处理常用算法实现程序，包括：二值化，灰度图，边缘检出，聚类，色彩空间变换等。-Commonly used in digital image processing algorithms to achieve the program, including: binary, grayscale, edge detection, clustering
253f30664450
- 用于遥感图像分类处理的一个基于C++的遗传算法聚类程序-For remote sensing image classification based on genetic algorithm clustering procedure of the C++
FCM
- 模糊C均值聚类（FCM）的matlab代码，包括很详细的注释。适用于图像处理。-Matlab code fuzzy C-means clustering (FCM), including very detailed notes. Suitable for image processing.
Statistical-recognition-
- 图像处理中数字识别的相关算法，自己私藏的统计识别模板。神经网络/聚类分析。matlab实现。-AI-NN-PR pattern recognition matlab
K_means
- 图像分割中K-means聚类算法的matlab实现-Image segmentation in the K-means clustering algorithm matlab implementation