搜索资源列表
K-均值聚类算法
- K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
k-mean k均值聚类程序
- k均值聚类程序，虽然matlab中也有自带的，但是这个速度不错。-program for k means used for cluster
K-MEANS
- 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-watershed segmentation on matlab
ClusterBasics-V1.0
- 各类聚类算法程序包，包含各种经典的聚类算法，例如：k-mean聚类等-Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.
123456789K_Average
- K均值算法的matlab代码，使用起来很简单，对于模式识别的效果也很好，初学者也很容易看懂。-K-means algorithm matlab code, very easy to use, for the effect of pattern recognition is also good, beginners can easily understand.
orthogonal_signal_BER
- 以cos（2*pi*k*t/N）信号空间，k=0,1,……N-1, 取N= 4，8，16，32，64等基信号作为传输信号，通过计算机仿真正交信号的误码率。-To cos (2* pi* k* t/N) signal space, k = 0,1, ... ... N-1, take N = 4,8,16,32,64, such as the base signal as a transmission signal, through computer simulation orthogonal s
k-centers
- 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
kmeansClusters
- Image segmentation k mean clustering
K-means.m
- K-mean均值算法的matlab功能实现-K-means to achieve the matlab function
K-Means-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
test_kMeansCluster.m
- K mean cluster matlab code
kmean
- k mean clustering in matlab
k-means_ColorImage_Segmentation
- This program written in MATLAB will find the clusters centriods using the K-Means algorithm for color images
K_mean_clustering
- k-mean clustering Matlab M-file
K-means
- 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
k-mean
- 用k均值方法进行分类的matlab小程序。-A small process based on k-mean.
K-mean
- K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
k-means
- k均值，数据已经有了，主要用于分类，美列都是一类数据，只用了其中一部分，数据是自己编的。(K mean, data already exists, mainly for classification, the United States column is a kind of data, only a part of the data is their own series.)
K-means
- 用matlab实现k均值算法，不用库函数(Implementation of K mean algorithm)
81801236k.matlab
- 利用matlab实现k均值聚类算法，亲自调试通过，对于学习k均值聚类算法有很大帮助(Using MATLAB to achieve K means clustering algorithm, personally debugging through, for learning K mean clustering algorithm is very helpful)