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K-average(N-dimension)
- K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类,代码中附加了详细的原理性说明,还有相关例子提示,效果不错-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points, the code attached to the principle of detailed instructions, and tips
fuzzykmeans
- 模糊k均值算法,将模糊理论和k均值聚类算法想结合。-fuzzykmeans clustering ,combine the fuzzy theoy and kmeans clustering.
K-MEANS-N
- K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类.-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points.
K-means
- K均值聚类算法,网上已存在很多,我是新手,大神的看不懂,觉得自己编的比较适合菜鸟理解吧-K-means clustering algorithm
K-mean
- 用K均值聚类法对数据进行分类,比较简单和基础的分类方法,可用于图像处理-With the K-mean method for data classification, the classification of simple and basic method can be used for image processing
K-Mean-Clustering-Code-in-Matlab
- k 均值聚类算法 ,能有效的将数据分成k类 但是具有k参数难以确定的缺点。 -k-means algorithm can cluster data into K class but, the parameter K can not be selected easily.
K-image-RGB
- 用C语言实现一张BMP图像的所有点的RGB的K-均值聚类程序,生成两个聚类中心。可根据具体情况稍作修改后直接调用。-VC6.0 digital image RGB
k-means
- 次算法基于欧式距离,用于数据挖掘k均值聚类算法,或者用于数据挖掘作业-for dating ,kmeans
K
- K 均值聚类程序,可以进行K均值聚类,是模式识别的一个重要算法-K-means clustering procedure, the K-means clustering is an important pattern recognition algorithm
K-Meansl
- 自己编写了一个c++的k均值聚类算法,使用起来很方便,数据存储在txt文件里,可以 改成自己的数据,方便使用,目录里给了两组UCI机器学习数据库上的数据,供实验用 。可以用这个文件直接运行就好了,里面给出了详细的使用说明。-k means clustering by array.
K-MEANS
- 简单的K均值聚类函数,用于求算重心的函数,算法高效快速-Simple K-means clustering function for calculating the center of gravity function, the algorithm is fast and efficient
K-means
- k均值聚类算法,初始随机给定k个簇中心,根据邻近原则,把待分类的样本点分到各个簇。-k-means clustering algorithm,which is applied in RBF neural network.
K-means
- 模式识别算法程序 K均值算法 主要是实现了K均值聚类分析算法,能够实现对图像的自动分类和识别。-Pattern recognition algorithm K-means algorithm K-means clustering analysis algorithms can achieve automatic image classification and identification.
Matlab-image-K-means-
- 基于matlab的图像K均值聚类算法程序-Matlab image K-means clustering algorithm
K-means-clustering-algorithm
- K均值聚类算法-适用于裁判打分等经典分类,适合初学者-K-means clustering algorithm- classical classification applies to the referee scoring for beginners
K
- 这是K均值聚类的程序,数据挖掘等课程都需要-This is a K-means clustering procedures, data mining courses
k-means
- k-均值聚类算法C语言源码,k-均值聚类算法C语言源码-k-means clustering algorithm C language source code
k-means
- 对于模式识别分类,利用K均值聚类,对原始数据进行分类。比较易于收敛,十分好用-For pattern recognition classification using the K-means clustering, and classification of the original data. Relatively easy to convergence, very easy to use
K-means
- K均值聚类的例子程序,程序中有附带的数据-examples of k-means technology
K-MEANS
- k均值聚类是最著名的划分聚类算法,由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k,k由用户指定,k均值算法根据某个距离函数反复把数据分入k个聚类中。-k-means clustering is one of the most famous partition clustering algorithm, due to the simplicity and efficiency so that he became the most widely used i