搜索资源列表
K-means
- K-means算法,一种聚类方法，其每个类别均用该类中所有数据的平均值（或加权平均值）来表-K-means Algorithm
K-means-cluster
- k-means算法是一种动态聚类算法，基本原理如下[24]：首先预先定义分类数k，并随机或按一定的原则选取k个样品作为初始聚类中心；然后按照就近的原则将其余的样品进行归类，得出一个初始的分类方案，并计算各类别的均值来更新聚类中心；再根据新的聚类中心对样品进行重新分类，反复循环此过程，直到聚类中心收敛为止。-K- means algorithm is a dynamic clustering algorithm, the basic principle of [24] as follows: fi
k_means
- k-means聚类算法，该算法已经经过验证，描述了聚类的过程-k-means clustering algorithm, which has been validated, we describe the process of clustering
k_means
- k-means聚类，聚类分析在人工智能方面多有用处，而k-means方法是最简单、最基本的一种，程序是k-means聚类方法的C++实现-k-means clustering
RBF-k
- RBF-k均值聚类算法的matlab程序和样本数据，可用于RBF-k均值聚类算法的仿真。-RBF-k-means clustering algorithm matlab program and sample data, can be used to simulate the RBF-k-means clustering algorithm.
cskmeans1
- 对k-means聚类算法进行改进，实现了多激发的k-means算法-multi-firing k-menas
k-means
- k-means算法的一个小实例，很好的展示了，算法的过程，测试聚类文件在txt中-A small example k-means algorithm, a good showing, the algorithm process, the test cluster file txt
k
- 用K均值聚类分析把多组数据分成两类 本程序为给定20组数据（用矩阵A表示）分成B、C两组。-K-means clustering analysis of the multiple sets of data into two categories This program is given 20 sets of data (represented by the matrix A) into B, C groups.
dimensionality-reduction-and-k-means
- 1.使用k-svd对数据进行稀疏表示，降维 2.使用k-means对上述数据聚类-1.use k-svd to reduce the dimensions of data 2.clster the data by k-means
K-means-Ensemble
- 该算法是基聚类算法为K-means，然后再进行聚类集成，方法为投票法-The algorithm is based on clustering algorithm for K-means, and then the clustering ensemble, method for voting
bikmeans
- 用python实现的二分k-means聚类方法，比k-means效率更高-With half of k-means clustering method python achieve higher efficiency than k-means
K-Means-master
- 模糊C均值聚类算法的PYTHON实现，在UCI的IRIS数据集上实现-Fuzzy C-means clustering algorithm PYTHON realization, implemented on UCI s IRIS data set
KMeans_Practice
- 聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。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。-matlab kmeans algorithm
k-means-2d-rand-point
- K_means经典聚类算法，用点阵可视化 通过产生随机点，不断更改中心点实现聚类-K Means classic clustering algorithm, with lattice visualization By generating random points, and constantly change the center point to achieve clustering
K-means
- MATLAB编写的一种模式识别里的重要的模糊聚类方法K-means算法的matlab程序-MATLAB prepare a Pattern Recognition s important Fuzzy clustering methods K-means algorithm Matlab procedures.
K-means
- K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。-K-means clustering algorithm is hard, is a typical prototype-based clustering method objective function representative, which is a method of data points to a certain d
Cluster
- 机器学习和数据挖掘中常用的K-means聚类算法，包含两个文件，kmeans.py是Python实现代码，bank-data.csv是测试数据-Machine learning and data mining commonly used K-means clustering algorithm contains two files, kmeans.py is a Python implementation code, bank-data.csv test data
ex5
- 机器学习 5、k - means聚类 开发环境Octave-Programming Exercise 5: K-means Clustering and Principal Component Analysis Machine Learning
perceptronClustering
- fisher线性分类，多层感知器非线性分类，K-Means聚类-Fisher linear classification, multilayer perceptron linear classifiers, K-Means Clustering
K_means
- MATLAB实现的k-means聚类算法，自带测试以及数据集，数据集分为二维和三维数据。-k-means clustering algorithm implemented in MATLAB, and has a test data set, the data set is divided into two and three dimensional data.