搜索资源列表
KMEANS_FixedBug
- 经典的K均值分类算法源码，修正了原作者没有处理当类中样本为0的情况下的bug-classic K-mean classification algorithm source code, that the original author did not address when the category 0 samples of the bug
k-rbf
- 程序是基于K均值聚类的RBF代码，很好的一个例子。-K means clustering procedure is based on the RBF code, a good example.
k-meams(sourcecode)
- C#实现k均值文本聚类算法，文本聚类C#源程序，k-means聚类算法-C# to achieve k means clustering algorithm, document clustering C# source code, k-means clustering algorithm
cluster
- k均值聚类算法源码（matlab） k均值聚类算法源码（matlab）-k-means clustering algorithm source code (matlab) k-means clustering algorithm source code (matlab)
test_kMeansCluster.m
- K mean cluster matlab code
proje
- applied k means clustering for vector quanta and used huffman for image compression matlab code
kmean.m
- k mean matlab code for hyper imagery
FuzzyKmeanclustering
- code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
kmeanalgorithm
- this code is for k-mean algorithm
clust
- k mean clustering code
K-Mean-Clustering-Code-in-Matlab
- k 均值聚类算法 ，能有效的将数据分成k类 但是具有k参数难以确定的缺点。 -k-means algorithm can cluster data into K class but, the parameter K can not be selected easily.
k_means_JIT
- k-mean聚类算法的MATLAB源代码程序-k-mean clustering algorithm Source code realization in MATLAB
K_mean_clustering
- this code is about k mean clustering in Matlab
kmeanhar
- a simple yet effective code for k mean clustering algorithm
RBF
- 使用k-mean确定RBF网络隐层中心点，后使用改进的梯度下降算法实现径向基神经网络的c++源程序，开发环境vs2010，可直接加载到自己的项目中。-Determined using k-mean RBF hidden layer center, the use of the improved gradient descent algorithm RBF neural network c++ source code, development environment vs2010
adfagf
- K-均值类算法的matlab源码，很实用，注解详细-K- mean class algorithm matlab source code, very practical, detailed notes
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
K-mean
- 关于运用K均值算法进行简单的图像分割的代码(On the use of K-means algorithm for simple image segmentation code)
新建文件夹
- K均值算法 简单的模式识别的算法 有详细的代码解释(Kmeans K mean algorithm simple pattern recognition algorithm has detailed code interpretation)
RBF-k均值聚类
- RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂，比较简单的有K均值聚类，复杂的有遗传聚类，蚁群聚类等，这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided