搜索资源列表
PatternRecognition
- 对图像利用ISODATA与K均值算法进行聚类分析-Clustering analysis for image by ISODATA and K-Mean Algorithm
k_meansc_meansCluster
- 基于k均值、c均值等聚类算法,应用于数据挖掘-Based on the mean k, c means clustering algorithm, etc., used in data mining
classification
- 基于K均值算法的模糊分类器具有很好的分类效果,用它可以很准确的对训练样本进行分类. 此方法是将K均值算法应用于训练数据的聚类,对每个聚类的半径和聚类的中心都是可计算的. 而模糊系统设计方法就是用模糊度来描述聚类, 对训练数据进行高效且准确的分类.-based on K-mean Algorithm,it can Classify the original data very well!
Kmeans-julei
- 动态聚类的k均值算法,采用matlab编程,内有多个子程序,和一个主程序-dynamic clustering algorithm k mean using matlab
PAM
- PAM(Partitioning Around Medoid,围绕中心点的划分)算法是是划分算法中一种很重要的算法,有时也称为k-中心点算法,是指用中心点来代表一个簇。PAM算法最早由Kaufman和Rousseevw提出,Medoid的意思就是位于中心位置的对象。PAM算法的目的是对n个数据对象给出k个划分。PAM算法的基本思想:PAM算法的目的是对成员集合D中的N个数据对象给出k个划分,形成k个簇,在每个簇中随机选取1个成员设置为中心点,然后在每一步中,对输入数据集中目前还不是中心点的成员根
kmean.tar
- 聚类分析源代码,用C++实现,主要用于机器学习,数据自动分类-K-mean machine learn
Cpp1
- 距离与相异度,然后介绍一种常见的聚类算法——k均值和k中心点聚类-Distance and dissimilarity, and then introduce a clustering algorithm- k mean and k-medoids clustering
k_mean_uv
- 利用k—mean算法根据U、V进行聚类分块,最后完成图像分割,分割出得块用不同的灰度等级表示出来。-K-mean algorithm to cluster sub-blocks according to the U, V, to finalize the image segmentation, segmentation have blocks with different gray levels represented.
image-segmentation
- K均值用于图像分割。 图像分割依据不同的颜色块进行聚类,对于相同颜色但深浅不同的目标可以进一步进行聚类然后分割。-The mean K used in image segmentation
Kmeans
- 使用Java实现K-means(C均值)聚类算法-Using Java to achieve K-means (C mean) clustering algorithm
fun_traindic_kmeans
- kmeans 聚类算法,主要用来对一堆数据形成他们的码本-k-means clustering is a method of vector quantization originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which ea
Untitled
- k-mean算法,使用matlab工具箱工具对图像进行聚类分割。-k-mean algorithm, using matlab clustering toolbox tool for image segmentation.
Untitled2
- k-mean算法,使用matlab工具箱工具对图像进行聚类分割。-k-mean algorithm, using matlab clustering toolbox tool for image segmentation.
k_mean
- k-mean算法实现,总要是完成数据的聚类,寻找中心点的程序!-k-mean algorithm, if the completion of the total clustering of data, find the center of the program!
FCM
- 自己实现的,模糊C均值聚类的代码,在K-mean上添加了隶属度矩阵。注释详细,方便理解算法步骤-my implementation, Fuzzy C-Means clustering code in the K-mean adding a membership matrix. Notes detailed, easy to understand algorithm steps
kmeans(cp2Bp2B)
- kmeans聚类算法实现图像分割, 基于K-MEAN的图像分割,方便实用,对于图像处理的研究生很有参考价值的!-kmeans clustering algorithm for image segmentation, image segmentation based on K-MEAN, convenient and practical, for image processing graduate of great reference value!
kjunzhi
- 利用k均值算法将两个female和male包含身高与体重的100个样本进行类别数为2的聚类-Using the K mean algorithm, 100 female and male were clustered with two samples of height and weight for 2 of the clusters.
k_means
- K-mean 算法是 J.B.MacQueen 在 1967 年提出的,是到目前为止应用最广泛最成熟的一种聚类分析方法。因该算法具有简单快速、适于处理大数据集等优点,目前,已被广泛应用于科学研究和工业应用中。-K-mean algorithm is JBMacQueen proposed in 1967, is by far the most mature and most widely used of a clustering analysis. Because the algorithm i
Kmeans1
- 利用K-mean的方法对样本进行聚类,只需要输入训练样本的地址和所要聚类的个数就可以完成聚类-The method of using K- mean to clustering samples, only need to input the training sample address and the number of clustering,and then it can be completed by clustering
K_Mean
- K_Mean聚类分析算法用于各地区城镇居民年人均收入的分析(分别4类),包括原始数据以及代码!结果在Data1、Data2、Data3、Data4中.-K Mean clustering algorithm used to analyze the regional urban residents per capita income (Class 4, respectively), including the original data and code! Result in Data1, Dat