搜索资源列表
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.
k_means_Gray
- 对于灰度图的 k均值算法实现 matlab代码-Gray graphics k-means matlab code
a
- 对于彩色图像的 k均值算法的matlab代码 文件置于c盘根目录-Colored graphics k-means algorithm matlab code
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
mpi_kmeans
- K means K均值算法 K means K均值算法 K means K均值算法-K means K means algorithm K means K means algorithm K means K means algorithm K means K means algorithm
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
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
1
- k均值算法，用matlab实现的，数据挖掘-k-means
K_Mean
- c++k均值算法，简单的示例程度，对K-mean学习有帮组-c++ k means algorithm, a simple example of the extent of the K-mean learning to help groups
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
1
- 模式识别分层聚类、k—均值算法，支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
kMeansCluster
- k均值分类 效率高 代码简单 利用最小均方误差准则编写-k-means efficient
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 displayed in the form of histogram clu
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
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 is: in the training samples to
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