搜索资源列表
kmeans
- kmeans的VC程序代码，是一个完整的代码-kmeans tu xiang fen ge dai ma
ColorImageSegmentation
- color image segmentation code matlab using kmeans
KMeans
- kmeans 聚类算法 基本可用作小于4维的数据聚类-kmeans clustering
KMEANS
- C++实现的简单的k均值聚类算法。最基本的聚类算法。-Kmeans clustering algorithm using VC++. It is one of the most fundamental algorithms.
FuzzClust-Toolbox
- fuzzy clustering toolbox using kmeans kmedoid algorithms along with many examples
textcluster
- 文本聚类 预处理+KMeans的Java程序-Clustering preprocessing+ KMeans the Java program
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.
kmeans
- k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-k-means algorithm takes parameters k and then advance the input data object is divided into n-k-clustering in order to make
clusterImg
- This function implements kmeans clustering on an input RGB (m x n x 3) image.
KMEANS
- 关于kmeans 的算法，和如何验证匹配准确率的算法-About kmeans algorithm, and how to verify the accuracy of the algorithm matches
Kmeans
- K-means算法实现文本聚类，Java实现的版本-K-means algorithm for text clustering
kmeandm
- kmeans 聚类算法 实现对txt文件中的点内容的聚类-kmeans clustering algorithm
kmeans
- K均值有效执行++多元数据的聚类算法。它已经表明，该算法具有的总群集内距离的期望值是日志（K）的竞争力的上限。此外，K -均值++通常远高于香草收敛K均值少。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value o
kmeans
- Kmeans算法的Matlab 程序，能评价分类后的的效果-Kmeans algorithm Matlab program to evaluate the effects of post-classification
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
- kmeans clustering function in matlab
kmeansb
- uses kmeans algorithm to cluster rgb image
KMeans
- he problem of segmenting images of objects with smooth surfaces is considered. The algorithm we present is a generalization of the ,K-means clustering algorithm to include spatial constraints and to account for local intensity variations
fuzzykmeans
- 模糊k均值算法，将模糊理论和k均值聚类算法想结合。-fuzzykmeans clustering ,combine the fuzzy theoy and kmeans clustering.
kmeans
- 图像分割 matlab 直接运行 基于k均值-Matlab image segmentation based on k-means run directly