搜索资源列表
K-Means
- 一个很好的C均值聚类算法！通过运行此文件可以很好的进行数据的分类。-K-means
Clustering
- 对数值型数据进行聚类：实现了K-means和FCM算法-K-means,fuzzy c means
cmeans1
- Matlab C-means image
Projet
- the fuzzy c means program -the fuzzy c means program !!
k-means
- 用C++实现k-mean聚类算法并进行初级的数据挖掘，-Using C++, k-mean clustering algorithm and a preliminary data mining,
k-means
- 用c程序和matlab分别试验一种k-means改进算法，按照方法选取聚类中心点，事实证明，这种改进是有效的。-Matlab with c procedures and were experimenting with an improved k-means algorithm, in accordance with the method of selecting cluster center, the facts show that this improvement is effective.
C_FCM
- 用C均值聚类方法实现图像分割，matlab实现，包含实验报告-C means clustering method used to achieve image segmentation, matlab implementation, including test reports
FCM
- 基于混合策略的演化模糊C均值算法，适用于控制系统的。-Hybrid Strategy Based on Fuzzy C means algorithm evolution for control systems.
k-means-new
- 聚类算法的C++实现，实现了一维点的聚类，命令行输入-Clustering algorithm C++ implementation to achieve the one-dimensional point of the cluster, the command line enter
k-means
- C++实现的k-means聚类算法 k-means聚类算法是一种划分的聚类算法-k-means c++
fcm
- 模糊C均值方法，将模糊的方法用到K均值方法里面-Fuzzy C Means method, the fuzzy approach method which used the mean K
C
- 经典的c算法文档，500例程。喜欢的可以分享过去，我们共同学习共同进步-This file also includes all flag definitions. The input mode flags in c_iflag handle all input processing, which means that the characters sent from the device can be processed before they are read with read.
Fuzzy_c-means_code
- 本文件包含很好的模糊c-means的matlab仿真源码。-Fuzzy C-Means Clustering matlab code.,
ImprovedKMeans2
- 使用C-均值算法对N多个样本进行分类，改进后的C++程序。-C-means algorithm using multiple samples of the N classification, improved C++ program.
ClusteirngAnalysis
- This work presents an implementation of a parallel Fuzzy c-means cluster analysis tool, which implements both aspects of cluster investigation: the calculation of clusters’ centers with the degrees of membership of records to clusters, and
Addison.Wesley.Designing.Components.with.the.C++.
- Aims of this book The book has two aims. As a technical reference, the reference document mentioned earlier is hardly suited to explain the concepts of the STL. Therefore, the first aim is to present how the STL can be used in a sensible way. I
zhinengdianwang
- 基于 MAS 建立的分布并行计算环境，其任务调度问题具有新的特点 对于基于MAS 的配电快速仿真与模拟系统，以配电 网三相状态估计为例，建立了新的调度问题模型，提出了基于FCM 的启发式任务调度优化方法 该方法利用模糊C 均值聚类分析 算法对独立任务进行聚类分析，避免了在超大解空间中用基于搜索的方法去寻求最优解的做法 该方法具有线性时间复杂度，而 且通过大量算例表明它总是能够在合理的时间内获得次优解或最优解，使masDSE 的性能有明显改善-In the distributed pa
C++Programming-HOW-TO.pdf
- This document provides a comprehensive list of C++ URL pointers, links to C++ online textbooks, and programming tips on C++. This document also provides a C++ library which imitates Java− language, and which has various methods to avoid memory p
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
FuzzyCMeansClustering
- 使用C#语言实现了模糊C均值聚类，可以在特征提取中使用。-This code performs a fuzzy C-means clustering and segmentation of color images, can be used for feature extraction.