搜索资源列表
K-Mean1
- 编写K-均值聚类算法程序，对下图所示数据进行聚类分析(选k=2)-prepare K-means clustering algorithm, the data shown in the chart below cluster analysis (EAC k = 2)
K-means.m
- MATLAB编写的一种模式识别里的重要的模糊聚类方法K-means算法的matlab程序.-MATLAB prepare a Pattern Recognition's important Fuzzy clustering methods K-means algorithm Matlab procedures.
K-meaneuclideandistance
- 这个是采用欧氏距离下的K-means算法的matlab实现-this is the Euclidean distance between the K-means algorithm to achieve the Matlab
K-L
- 做图像处理，模式识别的一个有用的参考，K-L算法源程序-do image processing, pattern recognition a useful reference, K-L algorithm source code
MATLABfuzzy-K-means
- MATLAB 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source code, Fuzzy clustering analysis for the
K-Means-Algorithm
- k平均动态聚类算法源代码.希望对大家有所帮助.-k average dynamic clustering algorithm source code. We want to help.
k-means.c++
- k-means算法 C++实现-k-means algorithm to achieve C
K-LTransmcodes
- k-l变换的人脸识别 不过是matlab代码-k-l Transform the face recognition is Matlab code
Simple-K-means
- 2个举类的简单k-means算法，非常简单，新手给大家提供参考了-two categories give a simple k-means algorithm is very simple, and newcomers to provide a reference to the
k-meanssom
- k-means som 层次聚类 算法比较-k-means clustering algorithm level som comparison
k--junzhi
- k均值算法是模式识别的聚分类问题，这是用C实现其算法以下是程序源代码-k-means algorithm is pattern recognition Poly classification, which is used to achieve its C Following is the algorithm source code
K-L_face_rec
- 这是基于k-l分类方法的人脸模式识别的源代码实现-This is based on the k-l Classification of pattern recognition Face the source code to achieve
K-L_face
- 基于K-L的人脸识别源代码和修改后的PCA进行人脸识别的Matlab源代码-based on K-L Face Recognition source code and modify the PCA for face recognition Matlab source code
k
- c++编写的模式识别k均值算法-c k prepared by the average pattern recognition algorithm
k-luguibing
- 用归并的算法思想实验文件的k路归并，代码为文件k路归并的c语言实现
K-Means
- K均值算法--- --- --- --VC代码编写
k-shortpath
- 本程序是K条最短路算法测试程序,陈艳艳老师的K条路算法。程序求3条最短路，约束条件值可以设定,约束值越小，多路径共用路段越多。
k-means(matlab)
- 关于k-means聚类算法的MATLAB实现
K-Lface
- 一个不错的K-L的人脸识别源代码,给出了相应的模板匹配库,能够很好地进行人脸识别
BCH(n=1023;k=1013)
- 实现BCH编译码(n = 1023 k = 1013） 供参考