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fcm
- 模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the seg
kmeanC
- k均值聚类算法的C++实现，在VC2003下调试通过。-k-means clustering algorithm C++ implementation, the VC2003 debug through.
hehanshufcm
- 用Matlab实现基于核函数的C均值聚类图像分割，实验好，好用-Using Matlab implementation of kernel-based C-means clustering image segmentation, experimental is good, easy to use
colorimage_seg_VC
- 利用模糊C均值聚类法实现彩色图像分割，Visual c++ 6.0 实现。-color image segmentation using C-means clustering, implementation by Visual c++ 6.0
cluster
- k均值聚类算法 c语言实现的！！！！！ -k-means clustering algorithm c language to achieve! ! ! ! !
FCM
- 在matlab平台下实现的FCM（模糊C均值）聚类分割-In the matlab platform to achieve FCM (fuzzy C mean) clustering segmentation
FCM
- 模糊c均值聚类方法，可以很方便的分割图像。-Fuzzy c-means clustering method, can be very convenient segmentation image.
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
BasedonfuzzyCmeansclusteringandsubtractiveclusteri
- 基于模糊C均值聚类和减法聚类结合的图像分割-Based on fuzzy C means clustering and subtractive clustering image segmentation combining
KMEANS
- 用C语言实现的基于均值聚类算法的图像分割的中心程序-c kmeans
FCM
- 使用C++完成的模糊C均值聚类算法的实现-FCM algorithm document
C_FCM
- 用C均值聚类方法实现图像分割，matlab实现，包含实验报告-C means clustering method used to achieve image segmentation, matlab implementation, including test reports
Kjunzhi
- K－均值聚类算法C++编程-...
bpfcm
- C-均值聚类 BP神经网络信号分析与处理方法，对模拟产生的数据样本进行训-C-means clustering analysis and BP neural network signal processing method, the simulated data generated training samples
Cmean
- C均值聚类算法 ，采用修改后的聚类方法，快速的修改聚类中心，减少计算量-C mean
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
Cmeans
- C均值聚类算法 用于实现不确定数据的聚类-c-mean
zuoye4
- 用FAMALE.TXT、MALE.TXT的数据作为本次作业使用的样本集，利用C均值聚类方法对样本集进行聚类分析，对结果进行分析.-Use FAMALE. TXT, MALE. TXT data as the assignment is to use the data sets, using the c-means clustering method of the sample set clustering analysis, the a
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