搜索资源列表
K－Means聚类
- k-means聚类算法源码。kmeans是一种常用的分割算法，简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
K-means_clustering_demo
- K-均值聚类算法 vc++图形演示程序-K-means clustering algorithm c++ demo program
KMeansClusterConsole
- K均值聚类算法，取前k个点为初始聚类中心，然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
K-means
- 简单实用的k均值聚类算法，可以实现多位向量的简单聚类-Simple and practical k-means clustering algorithm, can achieve more than a simple vector clustering
K-Means
- 用于图像处理，K-MEANS聚类实现图像的分割和识别，是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
k-means
- k均值聚类算法源码 聚类算法学习的实例功能-k-means cluster algorithm
K-means
- 采用K- means 算法和FCM 算法实现对47 个城市竞争力的聚类分析-Using K-means algorithm and FCM algorithm to achieve the competitiveness of 47 cities in the cluster analysis
k
- k平均聚类所谓k均值聚类方法是一种无监督的学习算法，它能用已知类数的数据聚类和预测。-k-average clustter
K-means
- K-means聚类算法实现代码，在VC++环境下开发的，令附有实验样本集。-K-means clustering algorithm code, in the VC++ development environment, so that experiments with sample set.
k-means
- k-means算法实现WEB搜索，用模拟退火，对K-means聚类算法进行数据挖掘-k-means algorithm WEB search
shujuwajue
- 算法描述: K均值聚类算法: 给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类之间的相似性最小-Algorithm Descr iption: K-means clustering algorithm: Given the number of classes K, the N objects assigned to a class K to go, making within-class similarity between objects
k-means
- k-均值聚类算法c语言版，经验证测试是可以运行
k_means
- k均值聚类算法，可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
K-means
- k-means 算法 step1 初始化K个质心 step2 将所有的点分配给最近的质心 step3 更新质心 step4 若质心都没用变化,则停止,否则返回step2 -k-means algorithm is initialized step1 step2 K a center of mass of all the points assigned to the nearest centroid centroid step3 step4 update no us
New-Revised-K-means
- New revised K-means聚类算法，为matlab函数，需要调用才能使用-New revised K-means clustering algorithm for matlab function, you need to call in order to use
k-means-and-pca
- 用matlab实现k-means聚类算法以及pca(主成分分析)算法-k-means and pca using matlab
K-means
- 使用k-means算法对图像进行分割，并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
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)
Kmeans
- python实现的k-means聚类算法(k-means clustering algorithm implemented by python)
K---MEANS
- 随机生成1000个二维坐标点并用K-means算法计算聚类结果(1000 two-dimensional coordinate points are generated randomly and the clustering results are calculated by K-means algorithm)