搜索资源列表
Cmeanvalue
- 基于背景差分算法和C均值聚类算法的车辆检测与跟踪-Based on background difference algorithm and C means clustering algorithm for detecting and tracking vehicles
moshishibie
- 先用C-均值聚类算法程序，并用下列数据进行聚类分析。在确认编程正确后，采用蔡云龙书的附录B中表1的Iris数据进行聚类。然后使用近邻法的快速算法找出待分样本X（设X样本的4个分量x1=x2=x3=x4=6；子集数l=3）的最近邻节点和3-近邻节点及X与它们之间的距离。-First C-means clustering algorithm procedures and with the following data for cluster analysis. After confirming t
C-mean
- 模式识别中用matlab实现c均值的计算，分类实现的算法。-matlab，c-means fuction
DIBAPI
- fcm用于进行模糊C均值分割，得到的效果还不错-fcm for fuzzy C-means segmentation, the results have been good
imagesegmentation
- 模糊C－均值聚类算法,使用VC++与matlab 编程两种方法实现算法-Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways
sfcm
- 加入邻域信息的空间模糊c均值聚类算法的代码。-Join neighborhood information, spatial fuzzy c-means clustering algorithm code.
k_meansc_meansCluster
- 基于k均值、c均值等聚类算法，应用于数据挖掘-Based on the mean k, c means clustering algorithm, etc., used in data mining
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
Cmeansclusteringmethods
- 本算法在vc++6.0中进行实验。分别就分解聚类和C-均值聚类两种方法在IRIS数据集上进行操作。分类前先将数据集中的样本顺序打乱形成混合数据。分解聚类中，采用前100个样本用对分法编制程序将数据分为两类。C-均值聚类采用全部的150个样本，将类别参数K设为3，将数据分为三类。-The algorithm in vc++6.0 in the experiment. Separate cluster and decomposition of two C-means clustering metho
c-jun
- 这是一个C均值算法的Matlab程序,已测试可用，希望对大家有帮助！-This is a C means algorithm Matlab program has been tested is available, we want to help!
C_mean
- 该代码是matlab编写的C均值聚类算法，具有速度快，聚类效果好的特点-The matlab code is written in C means clustering algorithm, a fast clustering and a good effect
Fuzzy-C-means-clustering
- 模糊C均值聚类算法的C++实现代码模糊C均值聚类算法的C++实现代码-Fuzzy C means clustering algorithm C++ implementation code fuzzy C means clustering algorithm C++ implementation code
C-means-clustering-algorithm
- 利用C++实现C均值聚类算法。模糊c均值聚类算法因算法简单收敛速度快且能处理大数据集，解决问题范围广，易于应用计算机实现等特点受到了越来越多人的关注，并应用于各个领域。-C means clustering algorithm in C++
c-means-algorithm
- 熟悉c均值算法，通过程序语言实现该算法，比较每个聚类的初始均值不同时，算法结果的差别。理解动态聚类算法的算法思想-Familiar with the c means algorithm, the algorithm realized by programming language, compare the initial mean of each cluster is not the same time, the difference between algorithm results. Dyn
test_FLICM
- FLICM一种基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最近改进方法，具有更强的鲁棒性，效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering algorithm.
C
- 用C均值聚类对Iris数据分类，输出分类结果和准确度-With the C-means clustering on the Iris data classification, and accuracy of output classification results
Fuzzy-C
- 模糊C均值聚类算法的步骤还是比较简单的，模糊C均值聚类（FCM），即众所周知的模糊ISODATA，是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy C-means clustering algorithm is relatively simple steps, fuzzy C-means clustering (FCM), known as fuzzy ISODATA, is used to determine the membership of each data poi
C-Means-clustering-code
- 模糊C均值模式识别聚类算法相关的C++源程序代码-Fuzzy C-means clustering algorithm of pattern recognition related to the C source code
c
- 用C-均值聚类的方法对Iris数据进行聚类分析-Cluster analysis using C-means clustering method on the Iris data
c-junhua
- 用FAMALE.TXT、MALE.TXT和/或test2.txt的数据作为本次实验使用的样本集，利用C均值和分级聚类方法对样本集进行聚类分析，对结果进行分析，从而加深对所学内容的理解和感性认识。-Use FAMALE. TXT, MALE. TXT and/or test2. TXT data as the use of the samples, using C mean and hierarchical clustering method of samples of clustering an