搜索资源列表
FuzzyKmeanclustering
- code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
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-means-cSharp--code
- k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
k-mean
- 实现K-mean算法，并用一些数据进行说明-Implement K-mean algorithm, and described by some data
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
- K-MEAN算法的实现，给定模式样本进行两个聚类中心的聚类。-The K-MEAN algorithm, the clustering of a given mode samples the two cluster centers.
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 clustering
- k mean clustering algorithm
k-mean-usage
- k均值的用法示例，它的数据生成部分可用于其它机器学习程序-A example of k mean usage
k-mean-clustering
- clustering an image to k clusters using k-mean clustering method
K-mean-by-Jayesh
- K mean easy implementation
K均值聚类
- K均值聚类算法图像分割，最传统的一种分割方法(K mean clustering segmentation)
K均值聚类在基于OpenCV的图像分割中的应用
- 介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。(This paper introduces the segmentation of traditional image segmentation and K- mean clustering algorithm, then uses OpenCV function to implement it, and introduces the basic functions of
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)
k均值聚类
- 用VC++写的K均值聚类算法，可以直接使用(K mean clustering algorithm is written by VC++ , which can be used directly.)
K-mean Clustering and RBF _V_1.0
- Radial Basis Function with K Mean Clustering using Pseudo inverse method
K-means
- 利用MATLAB实现K均值聚类算法，加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)
k均值聚类算法
- 根据k均值聚类的原理，实现一些数字的聚类，但是具体类别数需要自己设置(Clustering of some numbers by K mean clustering)
K-means
- 对图像用k-means算法进行处理，得到效果更好的图像(Processing the image with k-means algorithm)