搜索资源列表
k-means-iris
- 针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序，具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative
kmeanssource
- kmeans程序，用以各种方面聚类分析，诸如入侵检测和图像等。-kmeans method，used in many fields， such as intrusion detection, imag segmentation and etc.
fcm
- 一个关于FUZZY kmeans算法的matlab源程序 有带聚类分析结果-Kmeans algorithm on matlab source are the result of cluster analysis with
KMEANS
- 基于c++的k-means聚类分析算法，实用性很强-Cluster analysis algorithm
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
- 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
- 使用K均值做聚类分析来进行图像分割,把原始图像转换到HSV空间做聚类分析-use k-means clustering to segment the image
ClusteringToolbox1p0_Trail
- 聚类分析Matlab工具箱 Version1.0 Clustering Analysis Matlab Toolbox - Trial Version 1.0 ------------------------------------------------------------------------------ 1、该工具箱包括了常用的三种K-Means聚类分析和ISODATA聚类分析: ...\KMeans\Main_KMeans.m 标准 K-M
聚类算法
- 基于谱聚类和Kmeans算法的聚类分析，有效地将图像进行分块聚类MATLAB代码
kmeans
- kmeans算法，对交通路标进行Kmeans聚类分析，有GUI界面-kmeans algorithm, the traffic signs were clustered by using kmeans algorithm, GUI interface is available.
K聚类
- 聚类，这是一个用MATLAB编写的kmeans算法，主要用通常的聚类分析(Clustering, which is a MATLAB written in kmeans algorithm, mainly with the usual clustering analysis)
聚类k-means
- 一个非常简单的kmeans算法，主要用于聚类分析，用户仅需要输入聚类数(A very simple kmeans algorithm, mainly for clustering analysis, users only need to enter the number of clusters)
kmeans
- 对数据和图像进行聚类分析，k-means聚类方法多应用于模式识别，人工智能，机器学习等方面(Clustering analysis of data and images, K-means clustering method should be used in pattern recognition, artificial intelligence, machine learning and so on)
kmeans
- 用于分类 聚类分析 实现故障诊断分类 信号识别(Classified clustering analysis)
代码
- 先用的层次分析法筛选变量，而后使用聚类分析中的kmeans和pam两种方法，优点在于可以快速聚类，针对较大的数据量(clustering methodology)
Untitledk
- k-means聚类分析，用于聚类分析算法，距离聚类(K-means cluster analysis)
KMEANS
- C++编程实现数据挖掘中的聚类分析 使用K均值算法(C++ programming to achieve data mining clustering analysis using k-means algorithm)
kmeans
- 利用k均值聚类算法对数据进行聚类分析（数据点通过随机生成）(Using k-means clustering algorithm to cluster data (data points are generated randomly))
kmeans聚类算法
- kmeans聚类分析，无监督学习实现Matlab代码(Kmeans clustering analysis, unsupervised learning implementation of MATLAB code)