搜索资源列表
CCluster
- 用matlab写的模式识别中C均值分类算法，数据被分成2类，经验证正确-Pattern recognition with matlab written in C-means classification algorithm, the data is divided into two categories, proven correct
FLICM
- FLICM是基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最新改进方法，其效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering algorithm.
Untitledmohujunzhi
- c均值模糊聚类算法在matlab环境中的实现源码-fuzzy c-means clustering algorithm in matlab environment to achieve source
FUZZY-CLUSTING
- 模糊C均值聚类算法的实现，FCM模糊聚类程序，matlab-FCM clustering code,matlab
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
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
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.
Multi-class-SVM-Image-Classification
- 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
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.
PSOFCM
- 基于改进粒子群算法的C均值聚类算法研究。是一篇改进FCM算法的很好的文章。-Based on improved particle swarm algorithm of the C mean clustering algorithm research
FCM-Image-Segmentation
- 一种新的快速迷糊C均值聚类图像的分割算法。对于模糊聚类的图像分割的速度慢的这一缺陷进行了改进。-A new fast confused C clustering image mean segmentation algorithm. For fuzzy clustering image segmentation speed slow this defect was improved.
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.
xinxishangFCM
- 基于信息熵的快速模糊C均值聚类算法。提出了一中新的快速算法，效果很好。-Based on the information entropy fuzzy c-means algorithm quickly clustering algorithm. Put forward a new fast algorithm, the effect is very good.
fcm
- 模糊C均值聚类算法实现数据挖掘的matlab源代码-Fuzzy C-Means clustering algorithm for data mining matlab source code
FLICM
- 局部模糊c均值聚类算法的matlab代码-A Robust Fuzzy Local Information C-means Clustering Algorithm code
fcm-matlab
- matlab开发的FCM（模糊c-均值聚类算法）例程-matlab，cluster，fuzzy c-means，FCM，code