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K-均值聚类算法
- K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
cluster.rar
- 用高斯混合模型进行数据聚类分析的matlab 程序。,Set of files for analysis of Gaussian mixture models for data set clustering etc.
QVCS-Enterprise2.1.11
- 图像数据的模糊聚类分析，图像识别、图像分割，包含FCM算法。-Image data of the fuzzy cluster analysis, image recognition, image segmentation, including the FCM algorithm.
image
- 基于matlab语言程序，通过聚类分析对数码图像进行处理。-Matlab-based language program, through cluster analysis of digital images for processing.
iminerpolation
- 一种新的图像插值算法，此算法不需要先验信息，主要包括聚类分析，模式识别，图像插值三个阶段-A new image interpolation algorithm, the algorithm does not require a priori information, including cluster analysis, pattern recognition, image interpolation in three stages
waveletSeg
- use wavelet analysis to denoise the 4d image and use kmeans to cluster the image
RoadX
- 比较完善的ISODATA聚类分析。 支持手动选择初始聚类中心，类似监督法分类。 支持8位、24位BMP图像操作。 选用2种ISODATA聚类算法。 聚类结束后可手动修改类别颜色。-A relatively complete ISODATA cluster analysis. Supports manual selection of the initial cluster centers, similar to a law on supervision category. S
unsuperwiseclassfication
- 迭代自组织数据分析算法，它可以通过调整样本所属类别完成样本的聚类分析，而且可以自动地进行类别的合并和分裂，从而得到类数比较合理的聚类结果。-Iterative self-organizing data analysis algorithm, which can be completed by adjusting the sample was taken class cluster analysis of samples, and can automatically carry out types
juleichengxu
- 本聚类程序界面主要是两部分，左视图可以激活标准数字聚类，手画图形聚类，位图文件分析聚类。右视图选择菜单获得模式特征，进行特征提取后，选择各种算法进行聚类分析。-The clustering program interface is mainly of two parts, the left view can activate standard digital cluster, hand-painted graphics cluster, bitmap file of clustering. Ri
juleifengexiaosihyan
- 用matlab编写的小程序，采用聚类分析实现目标的分割。-Small programs written with matlab, using cluster analysis to achieve target segmentation.
Cluster
- 此程序的功能是实现对图像的聚类分析，通过提取图像中不同的特征，实现聚类，将图像中的各像素点划分到不同的类中。-This program' s function is to achieve the image of the cluster analysis, different by extracting image features, to implement clustering, the image of the pixels assigned to different classes
KMEANSCLUSTER
- 基于C语言的K-means聚类分析，可完成图像分割-C language-based K-means cluster analysis of image segmentation
Fuzzy-processing
- 聚类分析是多元统计分析的一种，也是无监督模式识别的一个重要分支，在模式分类 图像处理和模糊规则处理等众多领域中获得最广泛的应用。它把一个没有类别标记的样本按照某种准则划分为若干子集，使相似的样本尽可能归于一类，而把不相似的样本划分到不同的类中。硬聚类把每个待识别的对象严格的划分某类中，具有非此即彼的性质，而模糊聚类建立了样本对类别的不确定描述，更能客观的反应客观世界，从而成为聚类分析的主流。-Clustering analysis is a kind of multivariate statis
cluster
- 聚类程序，用于对数据进行聚类分析，找出数据的相似性-Clustering procedures for clustering the data analysis to identify the similarity of data
fkm
- k-means算法IDL语言的实现，用于对图像的聚类分析等-k-means algorithm for the realization of IDL language for cluster analysis of image
clusteranalysis
- 聚类分析是数理统计中的一种多元分析方法，它是用数学方法定量地确定样本的亲疏关系，从而客观地划分类型。-Cluster analysis is a mathematical statistics in the multivariate analysis method, it is to use mathematical methods to quantitatively determine the affinities of samples, which objectively classifie
RS_Basic
- 数字图像处理、遥感原理应用、图像旋转平移、缩放、增强、分割、分类、聚类分析-Digital image processing, remote sensing principle application, image rotation, scaling, translation, enhanced segmentation, classification, cluster analysis
RandotCls
- 程序按照随即生成若干个点作为点坐标 ，根据欧式距离 进行聚类分析 ，图像处理对象是灰度值，这里是用随即生成的点做例子 展示，这个程序有界面！-Procedures in accordance with the randomly generated a number of points as the point coordinates, cluster analysis based on Euclidean distance, the image processing is the gray va
MRF-based-image-segmentation
- 基于马尔科夫随机场的SAR图像分割方法，对应于采用最大后验概率准则对SAR目标切片图像分割，采用聚类分析算法求解。-SAR image segmentation based on Markov random fields, which corresponds to using the maximum posterior probability criteria for SAR Target Chip Image segmentation using cluster analysis algori
Cluster-Analysis
- 很实用的图像识别代码，//做m-1次聚类，第一、二个存储聚类对象的号码，第三个存储与两者相关的距离-The image identification code is useful,// m-1 times to make cluster, the first and second target storage cluster number, a third memory associated with the distance between