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Kmeanjulei
- k均值聚类分析，比较简单，只适合学习使用个，不适合数据处理。-k-means clustering analysis, relatively simple, only suitable for learning to use one, not suitable for data processing.
cluster
- k均值聚类算法 c语言实现的！！！！！ -k-means clustering algorithm c language to achieve! ! ! ! !
kmean_zmx_try
- k-means Cluster,kmean_zmx_try.rar,k均值聚类算法的matlab源代码-k-means Cluster,kmean_zmx_try.rar
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-cla
kmean_Clustering
- k均值聚类分析 c++版本 完全和MATLAB相同-k-means clustering analysis of c++ version of the same full and MATLAB
kmeans
- K-均值聚类算法，一种基于均值聚类算法的算法，很好用-kmeans
knn
- k均值聚类+matlab 有详细的注释和图片-failed to translate
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
- 典型的K均值聚类方法，用matlab编写，有几个文件，大家可以参考参考。-K-means clustering methods typically used matlab write, there are several files, you can refer to the reference.
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
ClusteringStatic
- 聚类分析算法,k均值聚类分析算法c++源码-clustering statics
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 c
K-means
- 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
Kmeans
- k均值聚类算法代码 用于模式识别等学科的编程应用-k-means clustering algorithm code for pattern recognition applications such as programming disciplines
Seven-RBF_NN--code
- 七个RBF神经网络的源代码:基于梯度法、OLS 、聚类、k均值聚类、函数逼近的RBF 网设计算法，及预测模型 -Seven RBF neural network source code: gradient-based method, OLS, clustering, k-means clustering, function approximation of the RBF network design algorithms, a
k_means
- K均值聚类，输入聚类前的点集以及阈值，输出最后各个分类的中心点-K-means clustering, the input point set before clustering and threshold, output the final classification of the center of each
kind
- candy边缘检测，彩色图像的边缘检测，K均值聚类，sobel边缘检测（C）其他是matlab程序-candy edge detection, color image edge detection, K-means clustering, sobel edge detection (C) the other is a matlab program
Kmeans
- 对已知数据进行k均值聚类，数据保存在txt文件(K mean clustering for known data)
聚类分析程序
- 聚类分析程序 包括系统聚类 样品系统聚类 变量系统聚类 K均值聚类 模糊C均值聚类(Cluster analysis program)
K-均值聚类
- 简单的机器学习入门编程，Kmeans聚类(Simple machine learning introductory programming, Kmeans clustering)