搜索资源列表
Kmeans.Cluster.using.Guide
- 图像集群（Image Clustering） (1)图像读入，显示图像所在路径； (2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群； (3)运行后，在原图像上显示集群灰度图； (4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) re
matlab
- 余弦距离进行聚类分析，余弦距离kmeans进行聚类分析，-Cluster analysis cosine distance, cosine distance from the cluster analysis kmeans,
PhamDN05-kmeans
- k-means cluster algorithm
cluster
- clustering ---uses a kmeans method-clustering---uses a kmeans method
KMEANS
- 基于c++的k-means聚类分析算法，实用性很强-Cluster analysis algorithm
Image-Kmeans
- use the k-means algorithm to cluster pixels into a number of clusters representing the texture regions.
zfk_example
- 聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。 -Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
KMeans
- KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.-(KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.
kmeans
- K-means is a clustering algorithm In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve a
kmeans
- java k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类。-java k-means algorithm, display the cluster result on the two demension.
kmeans
- C# 聚类k-means 建立tf*idf的聚类过程-C# cluster for every one
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
cluster
- 我做的用Kmeans方法，分别采用欧式距离。夹角余弦，和度量函数的方法来表示两点的相似度-I do use Kmeans methods were used Euclidean distance. Angle cosine, and methods of measurement functions to represent the similarity of two
Kmeans
- c++实现的kmeans聚类算法，编写简单，欢迎使用-kmeans cluster
KMEANS
- 基于MATLAB的kmeans聚类分析，包含数据和源代码，-MATLAB-based kmeans cluster analysis, including data and source code,
kmeans
- 使用K－均值聚类算法在IRIS数据上进行聚类分析.-K-means clustering algorithm using IRIS data in the cluster analysis.
KMEANS
- k-means C++ 源代码， 修正原来的错误， 增加的新功能 1、用vector实现其存储 2、直接在程序中读取数据集 3、结果可以保存到文件中 4、用户可以输入聚类个数 5、初始聚类中心随机选择(代码自动随机)-k-means C++ source code, fixes the original error, the increase in new features 1, 2, with the vector to achieve its store dire
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
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
- 基于java语言实现的kmeans聚类算法，还是很靠谱的(kmeans cluster realize based on java)