搜索资源列表
CART
- 数据挖掘算法，K-means聚类算法源代码，用于聚类分析-data mining algorithms, K-means clustering algorithm source code for the cluster analysis
fuzzy_k_means
- 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-data mining algorithms, fuzzy-K-means clustering algorithm source code for Fuzzy Cluster Analysis
C--K-Means
- 这个是K-Means动态聚类算法的源程序，需要的请下，请多多指教，谢谢！-This is a K - Means clustering algorithm source, the need to please, please exhibitions, thank you!
k-meansClustering
- 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。-Where k-means clustering, is given in advance the number of classes contained in the original data, then the data contained similar characteristics grouped into a single class.
K-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 can be entered free initial cluster centers and their coordinates.
K-means--experiment
- 基于MATLAB的编写的K均值聚类实验多类算法，caculateCenter1.m是确定类的中心，主函数是main-Experimental multi-class algorithm based on MATLAB prepared by K-means clustering, caculateCenter1.m the center determines the class, the main function is the main
K-means-clustering
- 一个关于matlab在K均值聚类方法中的应用程序包，可运行，包含一个函数文件、一个可执行文件和一个数据文件。希望有所帮助！-a code package about K-means clustering method on matlab,including one function files,a run files and one data file.it is helpful.
K-Means-Clustering-and-PCA
- 此代码为matlab代码，分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中，你将使用主成份分析法pca来实现人脸图像的低维表示。 -This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compress the image. In the second par
K-means-clustering-algorithm
- k均值聚类是最著名的划分聚类算法，由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k，k由用户指定，k均值算法根据某个距离函数反复把数据分入k个聚类中。-K-means clustering is one of the most famous partitioning clustering algorithm, due to the simplicity and efficiency makes him become the most widely used
K-means-Clustering
- 根据模拟数据进行K均值聚类实验，有原始数据，聚类代码和相关图片，程序可用！-Analog data according to K-means clustering experiment, the original data, clustering code and picture, the program is available!
K-Means-master
- k均值聚类算法，自动产生一组数，并进行聚类，稍作修改可用于机器学习等方面使用-k-means clustering algorithm to automatically generate a set of numbers, and clustering, minor modifications can be used in other aspects of the use of machine learning
K-means
- K均值聚类方法，用于图像处理，图像分割，提取不同特征。-K-means clustering method
K-meansbased-on-image-segmentation
- 基于K-means聚类算法的图像分割 代码及实验测试结果-K-means clustering algorithm based on image segmentation code and some experimental results
K均值对iris数据集聚类
- k-means算法对irisdata数据集进行聚类(The k-means algorithm clustering the irisdata datasets)
85375535Kmeans
- K均值聚类算法是先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心(K means clustering algorithm is first randomly selected K objects as the initial clustering center. Then calculate the distance between each object and each seed cluster center and
fenlei
- K均值聚类分析，可实现2/3/4类的分类，适用于初学者，为实现5/6类的分类提供想法(k-means clustering analysis)
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.)
kmean
- 一个学习k均值聚类的实例，代码实现了其基本原理，简单易懂，带有测试，训练数据集，可直接上手操作(A learning k-means clustering example, the code to achieve its basic principles, easy to understand, with a test, training data set can be used directly)
ABC-K-means
- 基于改进人工蜂群算法的K均值聚类算法-喻金平-郑杰-梅宏标，matlab(K-means clustering algorithm based on improved artificial bee colony algorithm-Yu Jinping-Zheng Jie-Mei Hongbiao, matlab)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi