搜索资源列表
KMEANS
- 输入:聚类个数k,以及包含 n个数据对象的数据库。输出:满足方差最小标准的k个聚类。处理流程: (1)从 n个数据对象任意选择 k 个对象作为初始聚类中心. (2)根据每个聚类对象的均值(中心对象),计算每个对象与这些中心对象的距离;并根据最小距离重新对相应对象进行划分;(3)重新计算每个(有变化)聚类的均值(中心对象) (4)循环(2)到(3)直到每个聚类不再发生变化为止-Input: number of clusters k
k_mean
- 在聚类分析中,K-均值聚类算法(k-means algorithm)是无监督分类中的一种基本方法,其也称为C-均值算法,其基本思想是:通过迭代的方法,逐次更新各聚类中心的值,直至得到最好的聚类结果。 -In cluster analysis, K-means clustering algorithm (k-means algorithm) is unsupervised classification is a basic me
kMean
- 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 clustering
k
- k均值算法,数据挖掘里面比较基础的算法,实现类聚-k-means algorithm, which based on the comparison of data mining algorithms to achieve clustering
Untitled3
- K均值聚类分析,好东西啊,想认真学习matlab的认真看下-K-means clustering analysis, a good thing, ah, want to seriously look carefully to learn matlab
k_means
- k均值聚类算法,使各个样本与所在类均值的误差平方和达到最小,并且附有显示程序-k-means clustering algorithm, where the class so that each sample and the mean squared error to a minimum, and with the display program
K_mean_julei
- 这是一个用k均值聚类的matlab 程序 程序对高维数据利用k均值进行了聚类-This is a k-means clustering matlab program procedures for high-dimensional data for the use of k-means clustering
src
- 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 accepts parameters k n and the previously input data is divided into k-cluste
secai
- 简单的K均值聚类法,本文中选用了5个聚类中心点,具体的聚类中心个数可以参考灰度直方图来选取-Simple K-means clustering method, this paper has selected five cluster center, the specific number of cluster centers can refer to the histogram to select
Kmeans
- C++控制台程序,实现的是K均值聚类算法,可供初学者参考。-C++ console program, realize that K-means clustering algorithm, for beginners reference.
kfuzzy
- k均值聚类算法,可自定义输入聚类数,能仿真出结果-K-means clustering algorithm, and can be custom clustering number, input to the simulation results
Kmeans
- K均值聚类的代码,完整程序,有实验结果RGB显示,结果图和相应的灰度直方图-K-means clustering code, complete procedures, RGB is the result of the experiment showed that the figure and the corresponding gray histogram
FKM_HHT_0711
- 针对模糊K均值聚类算法进行改进,应用于HHT变换后的旋转机械故障特征识别。-For fuzzy K-means clustering algorithm is improved HHT transform applied to the rotating machinery fault feature recognition.
KmeansCluster
- K均值聚类,自编的能够运行的K均值聚类程序,可用于聚类分析-K-means clustering,Self capable of running K-means clustering procedure that can be used cluster analysis
networkjulei
- 先基于系统网络扩散,生成每个图中节点对网络的影响,再算相似度,最后使用k均值聚类-First diffusion-based system network, generated for each graph node on the network effect, and then calculate the similarity, and finally use the k-means clustering
pattern-recognition
- 用matlab实现模式识别里的K-均值聚类算法,算法简单-Pattern Recognition using matlab to achieve in the K-means clustering algorithm, the algorithm is simple
k_means_image
- 国外的一个图像K均值聚类的C++源代码,非常容易集成和使用,适合模式识别、图像处理等方面的开发!-an image abroad of K-means clustering of C source code, and is easy to integrate and use, suitable for pattern recognition, Image processing, and other aspects of developm
kmeans
- matlab源码关于模糊K均值聚类算法,适合大家下载研究学习-matlab source code on the fuzzy K-means clustering algorithm, suitable for everyone to download research study
Kmeans
- K-均值聚类算法,是一种随机选取数个数据中心进行点聚类处理进而生成分类的数据挖掘算法,具有很好的学习功能。-K-means clustering algorithm is a randomly selected number of data center point clustering process thereby generating classification data mining algorithms, with good
cluster
- 聚类的MATLAb代码程序~此代码实现的为K均值聚类~-Clustering MATLAb code- This code implements the program for K-means clustering ~