搜索资源列表
k-means-by-LR
- 标准的数据挖掘聚类算法 k均值聚类 k-means聚类 严格按照标准算法执行 简单高效-Standard data mining clustering algorithm k-means clustering In strict accordance with the standard algorithm is simple and efficient execution
K-means
- K-means聚类方法,用于将不同的类分开-K-means clustering method is used to separate the different classes
K-means
- 一种k-means聚类算法的图像分割例程,很好用。里面包括主函数和子函数的m文件以及使用的图片。-One kind of k-means clustering image segmentation algorithm routines, very good use. Which includes the main functions and subroutines m documents and pictures used.
k-means
- 这是k-means聚类算法的matlab仿真实现,程序中分别有二维控件和三维空间基于k-means的聚类demo-This is k- means clustering algorithm of matlab simulation implementation, respectively in the program have two-dimensional controls and three-dimensional space based on k- means cluster demo
K-MEANS
- k-means聚类算法 用C++实现 聚类采用数据为二维数据 保存在当前目录下的data.txt文件中-K-means clustering algorithm C++ implementation
K-Means
- K-means聚类算法以及代码实现 K-means聚类算法以及代码实现-K-means clustering algorithm and code implementation K-means clustering algorithm and code implementation
fuzzy-K-means
- fuzzy-K-means聚类算法源代码,常用于模糊聚类分析,算法能取得较好性能,简单有效,应用范围广-the fuzzy-K-means cluster program which can achieve good performance
K-means
- K-means聚类算法的matlab代码。-MATLAB code for k-means clustering algorithm.
kmeans2
- 此程序可以实现大型数据聚类算法,其中含有测试数据。(This program can achieve large data clustering algorithm, which contains test data)
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-means
- 此代码可以对图像很好的聚类,文件里面有原始图像,也有聚类后的图像,聚类的效果挺好的,大家可以看看(This code can make a good clustering of images. In the file, there are original images, and there are also images of clustering. The effect of clustering is good. You can have a look at it)
clustering-index
- 欢迎使用和评述此工具箱,您的意见是对我们工作的支持。 此工具适合于不同有效性指标的性能比较,改进代码用于不同的应用问题等等。 (1) NCT的内容 NCT包括4个外部有效性指标和8种内部有效性指标,编制的程序文件"validity_Index.m"用于调用它们 (2) 主文件 "mainClusterValidationNC.m" 的内容 主文件设计为如何使用PAM聚类算法、如何使用有效性指标和方法来估计聚类个数。(H
1、K-means学习
- K-means算法MATLAB仿真,利用一副图像作为数据实现K聚类算法仿真(K-means algorithm, MATLAB simulation)
k-means
- k-means以空间中k个点为中心进行聚类,对最靠近他们的对象归类 c++实现代码(C++ implementation code of k-means)
kmeans
- 对数据和图像进行聚类分析,k-means聚类方法多应用于模式识别,人工智能,机器学习等方面(Clustering analysis of data and images, K-means clustering method should be used in pattern recognition, artificial intelligence, machine learning and so on)
Data_Clustering
- 对给定的一堆数据进行聚类,并进行类别标记(Clustering a given set of data)
cluster
- 快速搜索与发现密度峰值聚类方法来确定聚类中心(Clustering by fast search and find of density peaks)
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)
julei
- 聚类算法是给一大堆原始数据,然后通过算法将其中具有相似特征的数据聚为一类。 这里的k-means聚类,是事先给出原始数据所含的类数,然后将含有相似特征的数据聚为一个类中。(The clustering algorithm is given to a large number of original data, and then the data with similar features are gathered into a class by algorithm. The K-mean
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