搜索资源列表
k-means1
- Python version of k-means for data clustering
k-means
- 简单实现聚类算法中的经典k-menans算法，实现数据是二维数据- U7B80 u5B5 u5B9 u7B0 u803A u7R09 u7B09 u7B09
Classification K-NN
- classification des image satilitaire par k-means
kmeans
- 基于k均值的无监督聚类算法，输出有各个样本的类别标签，目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据，点击 test.m 可以完美运行。(The unsupervised clustering algorithm based on K means outputs the class labels of each sample, the value of the target function after each iteration, the clustering center a
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)
99273863K-means-clustering-algorithm
- K-均值聚类算法。可自由输入初始聚类中心的个数和其坐标。(K- means clustering algorithm. The number of initial cluster centers and its coordinates can be freely entered.)
K聚类
- 聚类，这是一个用MATLAB编写的kmeans算法，主要用通常的聚类分析(Clustering, which is a MATLAB written in kmeans algorithm, mainly with the usual clustering analysis)
k-means_old-faithful-master
- k-means属于划分法的聚类算法，能够见数值样本按照一定的规律划分为用户指定的类别(The goal of the algorithm is to partition a given dataset into a user-specified number of clusters, k, and obtain the similarity between samples of the same cluster rather than the different clusters)
kmeans&&ISODATA
- k-menas与ISODATA 非监督分类代码，希望对初学者有帮助。(K-menas and ISODATA unsupervised classification code, I hope to help beginners.)
K均值算法 - 非监督分类
- k-means 监督分类，希望对初学者有帮助。(K-means supervised classification, and I hope to help beginners.)
kmean
- 对大量的数据通过matlab软件，运用k均值算法进行分类，(Using the matlab software to use the k-means algorithm to classify the large amount of data,)
kmeansuanfa
- 对大量的数据通过matlab软件，运用k均值聚类算法进行分类，(By using matlab software, a large number of data are classified by using k-means clustering algorithm.)
ksuanfa
- 对大量的数据通过matlab软件，运用k均值聚类算法进行分类，上传文件中含例子(A large number of data are classified by matlab software, using k-means clustering algorithm to classify and upload files with examples)
K均值聚类
- k均值聚类。肩膀哭鬼股滚厉害话句句巨坑了你(k-means fyyggk kjb ghfch hjgkjb jknk knk klnb ugg hih hihk klhk khji.)
K均值算法程序
- K均值聚类算法，实现将数据分类，分为两类聚类(K means clustering algorithm to achieve data classification, divided into two categories of clusters)
常用聚类
- 常用聚类的MATLAB程序，调试均可用。包含k均值聚类、模糊C均值聚类、模糊减法聚类、谱系聚类(Common clustering MATLAB program, debugging are available. Including k-means clustering, fuzzy C-means clustering, fuzzy subtraction clustering, pedigree clustering)
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
k-means算法2
- 使用该算法可以实现数据的聚类分析，非常适合初学者。(The algorithm can be used to achieve clustering analysis of data, ideal for beginners.)
kjunzhijulei
- 说明K均值聚类算法的流程，并用matlab实现K均值聚类功能(Using MATLAB to implement function of K-means clustering)
kmeans
- 机器学习/python入门项目五：k均值(Machine learning / python entry project five: k means)