搜索资源列表
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
- 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.
kmlocal-1.7.2
- C实现的kmeans聚类算法 根据输入数据，进行kmeans聚类 -C to achieve kmeans clustering algorithm based on the input data, kmeans clustering
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.
km
- KMEANS源代码：k-means 聚类算法 图像处理分割-KMEANS源代码：k-means clustering algorithm for image processing segmentation
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
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
- k均值聚类算法，可以有效的找到聚类中心，并且把两类聚在一起，很经典实用。-k-means clustering algorithm, can effectively find the cluster center, and the two categories together, very classic.
caculateCenter1
- 实现Kmeans聚类算法，绝对可用，欢迎探讨-Kmeans clustering algorithm to achieve absolutely available, welcome to explore
kmeans
- K均值聚类算法，可用于图像分割，算法简单有效-K-means clustering algorithm can be used to image segmentation and it is simple and effective
kmeans
- K-means算法是最简单的一种聚类算法。算法的目的是使各个样本与所在类均值的误差平方和达到最小，该程序操作简单，能快速实现遥感影像的kmeans聚类，进行影像分类，显示分类结果。-K- means algorithm is the simplest kind of clustering algorithm.Algorithm is designed to make the sample and the average in the class to minimize the error sum
My_kmeans
- 自己写的一个简单的kmeans聚类算法，比较简单，真的简单(Kmeans clustering algorithm)
k-means
- 利用matlab程序编写的图像分割代码，算法为kmeans聚类算法，分割速度和效果很好(The image segmentation code written by MATLAB program, the algorithm is kmeans clustering algorithm, the segmentation speed and effect is very good)