搜索资源列表
KMeansBMPSeg
- 模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序-One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displaye
junzhi
- k-均值算法，主要进行在matlab中的程序实现，进行图像的分割处理-k-means algorithm, mainly for the program in the matlab implementation for image segmentation
knear
- K均值算法，用于聚类，程序写得比较好，容量读-K means algorithm for clustering, procedures written better, capacity Reading
Kmeans-image-segmentation
- matlab图像分割实例，K均值用于图像分割，割调用库函数实现，带注释，简单易懂-matlab image segmentation examples, K means for image segmentation, cutting calls library functions, with comments, easy to understand
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
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle
k
- 模式识别中的K均值聚类分析方法，该方法力偶那个迭代过程来进行处理，一步步逼近结果-Pattern Recognition Analysis of K-means clustering method Couple iterative process to deal with that, step by step approach results
ImageEnhancement
- K均值的图像分割 不错的程序 -kmeans-image-segmentation kmeans-image-segmentation kmeans-image-segmentation kmeans-image-segmentation
HCM
- HCM是模糊聚类，k均值算法 -hcm
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
kmeans
- 聚类算法 k均值 该算法简单 容易看懂 是基本的算法-kmeans clustering
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.
k-rbf
- 程序是基于K均值聚类的RBF代码，很好的一个例子。-K means clustering procedure is based on the RBF code, a good example.
K-means-cSharp--code
- k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
KMEANS
- k均值算法,C++文件，读入txt文件的方式实现-k means algorithm, C++ files, read txt file means to achieve
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