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kmeans算法。opencv上面聚类算法的例子
- kmeans算法。opencv上面聚类算法的例子，是一个很好的学习程序。-kmeans algorithm. A good example for learning kmeans.
KMeans
- K均值算法，Matlab实现，输入分类数，实现分类-K means algorithm, Matlab implementation, enter the number of classifications to achieve classification
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
kmeans
- 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
Kmeans
- 基于Kmeans算法的图像分割，一般Kmeans是数据挖掘中用来聚类的，本试验利用图像中的灰度值作为Kmeans算法的原始点，进行图像分割-Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像-Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.
kmeans
- K-均值聚类算法，一种基于均值聚类算法的算法，很好用-kmeans
kmeans
- 用matlab实现的一个基于均值聚类算法的图象分割的中心程序-kmeans
KMEANS
- 用C语言实现的基于均值聚类算法的图像分割的中心程序-c kmeans
kmeans
- 一种改进的均值聚类算法，能很好的利用与图像分割技术-k-means cluster
graphcut
- Kmeans 聚类，graphcut 图像分割,最大流最小割算法-Kmeans clustering, graphcut image segmentation, the maximum flow minimum cut algorithm
Kmeans-MATLAB
- 该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
kmean
- 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
Kmeans
- k均值聚类算法代码 用于模式识别等学科的编程应用-k-means clustering algorithm code for pattern recognition applications such as programming disciplines
clustering-system
- 本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xi
Kmeans
- Kmeans聚类算法，MATLAB语言，用于图像分割，可以将相似像素聚类，然后进行分割-Kmeans clustering algorithms, MATLAB language for image segmentation, can be similar pixel clusters, and then divided
Spectral_ClusteringNJW
- 谱聚类能够识别任意形状的样本空间且收敛于全局最优解，其基本思想是利用样本数据相似矩阵的进行特征分解后得到的特征向量进行聚类，程序进行了几种不同聚类算法的比较，包括Q矩阵聚类，kmeans聚类，第一特征分量聚类，第二广义特征分量聚类，公用数据生成和近邻矩阵生成(Spectral clustering can distinguish arbitrary sample space and converge to the global optimal solution, the basic idea i
kmeans
- 使用kmeans算法实现了彩色图像的颜色聚类(Color image clustering)
kmeans图像分类
- 利用简单kmeans聚类算法，对不同图片进行分类，图片内容包括人像，风景，建筑，动物，植物等，平台是matlab。(The simple k - means clustering algorithm is used to classify different pictures. the picture content includes portrait, scenery, architecture, objects, plants, etc. The platform is MATLAB.)