搜索资源列表
KMEANS(matlab)
- Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
K-junzhi
- 这是K均值聚类算法的程序,应用相当广泛的,比如在模式识别里就很重要.-This is the K-means clustering algorithm, application fairly extensive, such as pattern recognition is important to Lane.
K-means
- K-means K聚类算法的C++语言实现，里面附有使用文档和实例，在VS2005上实现的-K-means K clustering algorithm C++ language, which accompanied with documentation and examples implemented on the VS2005
TDIDF_Demo
- 基于k-means的文本聚类程序实现，希望对大家有帮助！-Based on the k-means clustering procedures for the realization of the text, I hope all of you help!
KMEANS
- 对二维数组的最基础的K-means聚类算法的c++实现-Two-dimensional array of the most basic K-means clustering algorithm c++ to achieve
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
SimpleKMeans
- k-means聚类算法 指定类别数为K，对样本集合进行聚类，聚类的结果由K 个聚类中心来表达，基于给定的聚类目标函数(或者说是聚类效果判别准则)，算法采用迭代更新的方法，每一次迭代过程都是向目标函数值减小的方向进行，最终的聚类结果使目标函数值取得极小值，达到较优的聚类效果。-k-means clustering algorithm for specific classes of K, the collection of samples for clustering, clustering t
GA1E1
- 用Ｋ均值和遗传算法实现了半监督聚类算法，这是个一个已经发表的论文的源程序-Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source
KMEANS
- 基于c++的k-means聚类分析算法，实用性很强-Cluster analysis algorithm
k-means_clustering
- k means clustering k-均值聚类算法c语言版-k means clustering c k-均值聚类算法c语言版
FastKmeansSourceCodeCpp
- 快速K-Means聚类：ENNS PDS 添加到搜索过程中，速度降至FS的10 左右-Fast K-Means Clustering: ENNS PDS to the search process
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
- 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
- k-means算法K-MEANS算法是输入聚类个数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-k-means data
K
- k-means 聚类 有归一化和选择中心点函数-k-means cluster
K-means-and-iterative
- 图像的K均值与迭代处理,k-均值聚类是一种动态聚类，又称“C-均值算法”。-Image k-means and iterative processing
csk-means
- 这是一种我自己比较满意的K-means聚类算法，通过对原始的K-means进行改进而来。-This is a way I quite satisfied with K-means clustering algorithm, through the original K-means to improve from.
K-means
- 经典的K均值聚类，源码加利用三维高斯简单数据的实现对三类数据的聚类-Achieve the effect of classical K-means clustering, plus simple data
k-means
- k均值聚类算法，模式识别大作业，适用于数据挖掘学习-k-means clustering algorithm, pattern recognition big job learning for data mining
kmeans
- 利用k均值聚类算法对数据进行聚类分析（数据点通过随机生成）(Using k-means clustering algorithm to cluster data (data points are generated randomly))