搜索资源列表
FCM
- 模糊C均值聚类算法，对图像进行分类，图像处理，多类划分，SAR图像分类-Fuzzy c-means algorithm clustering algorithm, the image classification, image processing, many kinds of division, the SAR image classification
667777777766
- 模式识别的作业源代码，包括了c均值算法（Cmeans）和自主值迭代算法（ISODATA），以及W-H固定增量算法和感知器（基于MFC实现）。-Operating source code for pattern recognition, including c-means algorithm (Cmeans) and self-value iteration algorithm (on ISODATA), and WH fixed incremental algorithm and the sen
fcm4
- 通过模糊c-均值（FCM）聚类实现图像的分割-Image segmentation by fuzzy c-means (FCM) clustering
FCM
- 模糊c均值聚类 FCM算法用matlab实现的，从随机初始化划分矩阵开始迭代。-Fuzzy C means clustering algorithm FCM realized by MATLAB, from the random initialization partition matrix starting the iteration.
kmeans
- 此代码为模糊C均值聚类的图象分割算法的MATLAB实现-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
FCM
- 此代码为模糊C均值聚类的图象分割算法的MATLAB实现（与kmeans方法有所不同）-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
fuzzykernal
- 又一种模糊C均值聚类的图象分割算法的MATLAB实现-Another fuzzy C-means clustering image segmentation algorithm in MATLAB to achieve
fcmlena2
- fuzzy c means algorithm for image segmentation
RFCMData1
- rough fuzzy c means algorithm for clustering of data set
FCM
- classification de fuzzy c means clustering implmente en c++ ..
K-means
- 数据挖掘中得k-均值算法的c++实现，可以使你对数据挖掘算法有个初步的了解。-k-means algorithm in data mining is achieved with c++ . Allows you to have a preliminary understanding of the data mining algorithms.
k-means
- c++实现k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类-c++ k-means algorithm, display the cluster result on the two demension
Tool-box-for-fuzzy
- Fuzzy c means code for doing clustering.
julei
- 图像c-均值聚类分割 简单的图像分割，c=2，较为基础-Images of c-means clustering segmentation
fcmTest
- 标准模糊c聚类算法的实现，可以输入各种类型的图像，如tif、jpg-Fuzzy c-means clustering
fcmeans
- 实现快速c均值聚类，能快速有效的对图像实现聚类分割，效果不错。-Rapid c-means clustering, can quickly and effectively split the image clustering, good results.
mohucjunzhi
- 此方法用模糊聚类的方法对全体样本进行分类，称为模糊c均值-Fuzzy c-means
Vector-quantization-of-the-C
- 矢量量化算法的C语言实现：LBG(K-均值)聚类算法，在欧几里的距离基础上用LBG算法将输入向量聚类。-Vector quantization of C language implementation algorithm:LBG (k-means) clustering algorithm, in several European based on the distance with LBG algorithm will input vector clustering.
K-MEANS
- 基于c++对模式识别中K均值算法进行实现，可以读取不同波段数，并且实现对地物的分类效果。代码简单易行。-K-means algorithm in pattern recognition based on the c++ implementation, can read the band number and classification of surface features. The code is simple.
IFFCM
- 改进的快速模糊C- 均值聚类算法。基于FFCM算法，提出了新的改进，效果很好。-The rapid improvement c-means clustering algorithm.Based on FFCM algorithm, and puts forward a new improved, the effect is very good.