搜索资源列表
K_average
- 模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程，并对分类进行了画图分析。-the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis.
2655143923
- 此程序是在VC环境下实现k-means均值聚类算法-this procedure is in VC environment to achieve k-means clustering algorithm Mean
kMeanExtract
- 本代码是基于k-mean聚类的关键帧提取代码，是用matlab来实现的。-The code is based on k-mean clustering key frame extraction code, using matlab to achieve.
background-model3
- 针对背景差法易受外界环境因素影响的缺点, 提出了一种基于改进K-均值聚类的背景建模方法。通过比较任意样本与该像素位置处的子类中心之间的距离, 对各个像素的观察值进行聚类, 并在聚类过程中逐步确定其类别数。一段时间的学习之后, 样本数最多的子类就构成了背景模型。仿真结果表明, 该算法即使在运动目标存在的情况下也能准确的提取出实际的 背景, 而且显著地降低了系统的存储量。-Aimed at the disadvantage that background subtraction was liab
kmeanhar
- a simple yet effective code for k mean clustering algorithm
V7
- Detection of viruses in tomatoes leaf based on K-Mean clustering algorithm-Detection of viruses in tomatoes leaf based on K-Mean clustering algorithm
K-mean
- 聚类算法中的k-means算法，和k-medoids 肯定是非常相似的。k-medoids 和 k-means 不一样的地方在于中心点的选取，在 k-means 中，我们将中心点取为当前 cluster 中所有数据点的平均值。-Clustering algorithm k-means algorithm, and k-medoids certainly very similar. k-medoids and k-means not the same place that the center o
EM
- EM 算法，先K-mean 聚类，然后LGB分裂-EM algorithm, the first K-mean clustering, then LGB split
K_Mean
- K_Mean聚类分析算法用于各地区城镇居民年人均收入的分析（分别4类），包括原始数据以及代码！结果在Data1、Data2、Data3、Data4中.-K Mean clustering algorithm used to analyze the regional urban residents per capita income (Class 4, respectively), including the original data and code! Result in Data1, Dat
Kmean
- k-mean聚类算法。最简实现，全部做了中文注释-K-mean clustering algorithm. The simplest implementation, all done in Chinese Notes
Kjunzhi
- 一个简单的k均值聚类例程，适合数据挖掘初学者练习(A simple K mean clustering routines, practice for data mining beginners.)
image
- 进行图像像素的聚类分析，采用k-mean聚类分析，速度比MATLAB快5倍之多。(Cluster analysis of image pixels, using K-mean clustering analysis, the speed is faster than MATLAB 5 times more.)
FunK_meanPolyD
- K-MEAN聚类算法功能展示，是一个多维的算法(K-MEAN clustering algorithm function display, is a multi-dimensional algorithm)
81801236k.matlab
- 利用matlab实现k均值聚类算法，亲自调试通过，对于学习k均值聚类算法有很大帮助(Using MATLAB to achieve K means clustering algorithm, personally debugging through, for learning K mean clustering algorithm is very helpful)
聚类分析
- 聚类分析算法 k均值算法 对地图上的点进行聚类事例(Clustering analysis algorithm k mean algorithm for clustering of points on maps)
IABC_KMC_test_on_Iris_wine_glass
- 克服K均值聚类算法易受初始聚类中心影响的缺点，优化K均值聚类算法(The K mean clustering algorithm is easily affected by the initial cluster center, and the K mean clustering algorithm is optimized.)
七个RBF神经网络的源程序
- 包含了RBF源代码，可以用于RBF神经网络编程，其中包括RBF聚类，K均值聚类等(It includes the RBF source code, which can be used for RBF neural network programming, including RBF clustering, K mean clustering, etc.)
基于聚类的细分研究
- 使用R语言进行聚类分析的例子，包括层次聚类，k均值聚类，密度聚类等(Examples of clustering analysis using R language, including hierarchical clustering, K mean clustering, density clustering, etc.)
kmean
- 确定K均值最佳聚类数，把数据导入后运行即可(Determining the best clustering number of K mean)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi