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彩色分割后8连通处理
- 彩色分割后8连通处理,给出了彩色图像的一种聚类算法-after eight color segmentation connectivity, a color image is a clustering algorithm
fcm123
- 一个适合与做二维图像的聚类算法 我是做图像的 大家加我qq：31781508-suitable for a 2-dimensional image and the clustering algorithm I have to do all the images for my qq : 31781508
kMeans
- k-mean image clustering source code developed using java
nmf
- This program do the NMF based clustering
Cluster
- 实现了随机点生成、C均值聚类、ISODATA聚类算法，简单易懂-Random point generation C-means clustering, ISODATA clustering algorithm, straightforward
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.
Fuzzy-Clusteringmean
- Fuzzy clusteringsegmentation clustering for image sementation
mohuFCM
- 基于matlab的模糊均值C的聚类程序，可以实现彩色图像的聚类，能实现程序时间统计-Matlab-based fuzzy mean C clustering procedures, can achieve color image clustering, to achieve the program time statistics
kmeans_clustering
- 标准matlabk均值聚类，系统工程课程作业-Standard matlabk means clustering, systems engineering course work
ant
- 蚁群算法在图像分割中的实现。最佳路径度量值（初值为无穷大，该值越小聚类效果越好）。路径标识字符：标识每只蚂蚁的路径。蚁群聚类结果(R=100,t=10000)。-Ant colony algorithm in image segmentation is achieved. Best path metric value (initial value is infinite, the smaller the value the better the clustering effect). Path
FCMdemo
- 用模糊K均值（FCM）的方法对图像进行分类-fuzzy c mean clustering (FCM),segmentation
CarData.tar
- k-means clustering, a very fundamental but also important approach for clustering
k-means
- k-means聚类 可以实现 效果很好 三维立体效果图-k-means clustering can achieve good results three-dimensional renderings
bow-sift
- 实现图片的sift特征的提取，并能够进行聚类，生成词典。并且附带详细的注释及说明。我们现在的图片有关sift的，都是使用此代码。绝对可用。对初学者和开发者都有很大的帮助。-Achieve the picture sift feature extraction and clustering can generate dictionary. And with detailed notes and instructions. We are now about sift pictures, are us
isolet5
- isolet5数据集，已处理成.mat格式，包括数据和类标，用于机器学习，聚类，分类等问题的研究-isolet5 dataset has been processed to study mat form, including data and class standard, machine learning, clustering and classification problems
sonar
- sonar数据集，已处理成.mat格式，包括数据和类标，用于机器学习，聚类，分类等问题的研究-sonar dataset has been processed to study mat form, including data and class standard, machine learning, clustering and classification problems
01
- 应用蚁群优化算法解决聚类问题，效果不错-Application of ant colony optimization algorithm to solve clustering problem, effect is good!
Kmeans_and_improvedkmeans_and_papers
- Kmeans聚类算法以及改进的Kmeans聚类算法，包含收集的很多论文-Kmeans clustering algorithm and Kmeans clustering algorithm and improved, including a lot of paper collection
k_means
- K-mean 算法是 J.B.MacQueen 在 1967 年提出的，是到目前为止应用最广泛最成熟的一种聚类分析方法。因该算法具有简单快速、适于处理大数据集等优点，目前，已被广泛应用于科学研究和工业应用中。-K-mean algorithm is JBMacQueen proposed in 1967, is by far the most mature and most widely used of a clustering analysis. Because the algorithm i
kmeans
- code for K-means clustering using C