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k-means_cluster.rar
- 通过将一幅图像的sift特征提取出来,然后对他们采用k均值方法进行聚类,By an image feature extraction sift out, and then on their way to the use of k-means clustering
33753132FCM_Cluster.rar
- 模糊均值聚类FCM 对图像颜色进行聚类 然后对图像进行分割 ,Fuzzy-means clustering FCM clustering of the images and then color image segmentation
clustering.rar
- 对图像进行分析,实现图像的聚类分析,能够识别图像中不同的数字以及几何图形,Image analysis, image clustering analysis, to identify the number of different images, as well as geometry
KMEANS.rar
- 聚类分析是数据挖掘中的一个重要研究领域,是一种数据划分或分组处理的 重要手段和方法。聚类无论在商务领域,还是在生物学、W七b文档分类、图像 处理等其他领域都得到了有效的应用。目前聚类算法大体上分为基于划分的方 法、基于层次的方法、基于密度的方法、基于网格的方法、基于模型的方法以及 模糊聚类。 ,erer
K-mean-clustering
- K-mean方法聚类 实现多幅图像的K均值方法的聚类并显示-K-mean clustering,Efficient method to achieve multiple images of the K-means clustering method and display
LDA
- 线性判别分析(LDA)用于特征选择,可以对数据集或者图像提取有用特征,用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
UPublic
- 一个用delphi 写的图像,K均值(K-means)聚类算法-Written with the image of a delphi, K mean (K-means) clustering algorithm
code
- 基于内容的图像识别特征提取部分——k-均值聚类分割获取形状等信息-Content-based image recognition, feature extraction part of- k-means clustering segmentation information for shape
PLSA
- PLSA 的Java实现,可以用于图像处理,文本分类,文本聚类等-code of PLSA in JAVA
GAjulei
- 该程序通过遗传算法对图像进行聚类分析,并实现了图像的分类功能,分类效果明显较其他算法好-The genetic algorithm procedure for cluster analysis of the images and to achieve the classification of image features, the classification results significantly better than the other algorithms
Thresholding-using-mean-shift
- 基于mean shift的阈值分割matlab代码,先借助Mean Shift算法的分割特性将灰度值相近的元素进行聚类,然后,在此基础上应用阈值分割算法,达到将图像与背景分离的目的。-Threshold based on mean shift segmentation matlab code, the first split with the Mean Shift algorithm similar to the gray value characteristics of the element
fcm
- 介绍几种模糊c均值聚类算法,利用该算法进行点云以及图像的分割。-fuzzy c means clustering
ISODATA
- 采用ISODATA对图像进行聚类,效果不错 所以上传-iSODATA
clustering
- 图像聚类程序源码,运行正常,能实现数字图像、图形的聚类;同时,还采用了多种方法实现,有距离法,神经网络法等,值得参考-Image source clustering procedures, operating normally, to achieve digital images, graphics cluster At the same time, also adopted a number of ways to achieve, a far cry from the law, such a
kkrhjyg
- 这些程序是图像处理的基础知识和聚类的一些算法,这些方法图像识别中的必备的。-These procedures are the basis of image processing knowledge and a number of clustering algorithms, these methods of image recognition necessary.
clustering
- 一个VC++的聚类程序,可用于模式识别,图像处理-A VC The clustering procedure can be used for pattern recognition, image processing
K-Means
- 用于图像处理,K-MEANS聚类实现图像的分割和识别,是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
VC_technology_implementation
- 《图像模式识别——VC++技术实现》的源码,主要分为分类与聚类两大部分,杨淑莹编写。-" Image pattern recognition- VC++ technology implementation," the source, classification and clustering is mainly divided into two major parts, the preparation of杨淑莹.
kmean
- c#下实现图像颜色k均值聚类 将像素点颜色分类并合并-c# implementation of color image k-means clustering to classification of color pixels and merge
Y_FCMC_Ver.1.0
- 基于聚类的图像视频分割算法,matlab实现 -Image-based clustering algorithm for video segmentation, matlab achieve