搜索资源列表
k-means(java)
- k-means算法是基于划分的聚类方法，本算法简单，便于理解，以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results.
K-Means
- 这是K-neans动态聚类算法的源程序，是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
k-Means
- K-Means聚类算法程序实现……源代码-K-Means clustering algorithm to achieve ... ... the source code program
kmeanC
- k均值聚类算法的C++实现，在VC2003下调试通过。-k-means clustering algorithm C++ implementation, the VC2003 debug through.
gak-means3
- 基于遗传算法的k-means聚类分析代码 欢迎下载-Based on Genetic Algorithm k-means cluster analysis of the code are welcome to download
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++
k_means_cluster
- k均值聚类算法 ，c语言实现 了基于均值的聚类分析，同时增加了多维向量分析功能，使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
GA-k-means
- GA-k-means算法 基于遗传算法的k_means聚类方法的研究(33-48)-GA-k-means algorithm
K-means
- 聚类算法（K-means）源代码，通过对该代码的运行，可以实现对各种数据的聚类显示，最终选出聚类中心-Clustering algorithm (K-means) source code, run through the code, can display a variety of data clustering, selected a cluster center
k-means-algorithm-implement
- 用于实现K-MEANS聚类分析的C++代码-Used to implement the K-MEANS clustering analysis of the C++ code
K-Means-JavaSwing
- java实现的K-means聚类算法，结合swing，带有界面功能，操作简单直观-java implementation of K-means clustering algorithm, combined with the swing, with interface features simple, intuitive operation
K-means
- K-means聚类算法源码,C代码实现。个人已经试验过，没有问题 可以放心使用-K-means clustering algorithm source code, C code. Individuals have been tested, and no problem can be rest assured that the use of
K-means-clustering
- 关于K-means聚类的算法描述，原创，包含有大量训练和测试数据-About K-means clustering algorithm descr iption, originality, contains a large number of training and test data
k-means---matlab
- matlab写的一个简单的k-means聚类算法，通过导入data.txt文件，再利用k-means讲结果呈现在界面上-matlab write a simple k-means clustering algorithm, by importing the data.txt file, and then use k-means results are presented in the interface stresses
K-means(delphi)
- 数据挖掘K-means聚类算法的delphi实现-Data mining K-means clustering algorithm delphi realized
KMeans
- 基于matlab语言编译的用于实现聚类的k-means函数(K-means function compiled by MATLAB language for 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
kmeans1
- 实现k-means算法的matlab代码(the matlab code of the k-means algorithm)
Clustering-master
- 深度学习中，用matlab对k-means算法进行了实现，运行效果还不错，第一次上传文件，多多指教(The k-means algorithm is implemented.)
主动半监督K_means聚类算法研究及应用_吕峰.caj
- 基于师生模型实现半监督学习，百万级数据级(Semi supervised learning based on teacher-student model, million data level)