搜索资源列表
FuzzyCMeansClustering
- Fuzzy C means clustering
entati
- 非局部加权模糊C均值聚类图像分割Non-locally weighted fuzzy C-means image segmentation-Non-locally weighted fuzzy C-means image segmentation
K-MEANS
- 均值计算方法源码实现：分群的方法，就改成是一个最佳化的問題，換句话說，我們要如何选取 c 个群聚以及相关的群中心，使得 E 的值为最小。 -Method of calculating the mean source implementation: clustering method, based on the best change is a problem, in other words, how do we choose c a center cluster and related g
mohucjunzhi
- 本人上传的代码是经过认真验证的，能够实现模糊c均值的自动分类，实用性很强，特别适合vc程序初学者。-I upload the code is carefully validated to achieve the fuzzy c-means of automatic classification, very practical, especially for beginners vc program.
FCM_tool_box[by-liyang]
- FCM模糊C均值的工具箱，容易理解，可以直接使用-Fuzzy C-means FCM toolbox, easy to understand, you can directly use
FUZZY
- 自己写的matlab 模糊C 举止均值聚类算法 已经调试好的 更改图像的名字可以直接运行-program for fuzzy c means
K-Means-algorithm-source-program
- c++源码K-Means动态聚类算法源程序。，希望对工程应用有帮助。-K-Means dynamic clustering algorithm source program ,I hope it will be helpful.
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
k-means
- k-means算法的c++实现，写的比较不错，传上来加加分-k-means algorithm c++ implementation, written in relatively good transfer points up Gaga
C-means
- matlab实现的2类、3类、4类、5类cmeans算法-matlab implementation of Class 2, Category 3, Category 4, Category 5 cmeans algorithm
F-0358
- Semi-Supervised algorithm based on Fuzzy C-Means
ENIA_Sessao_1_Artigo_2_Macario
- Algoritmo semi-supervisionado baseado no Fuzzy C-Means
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
FuzzyClusteringToolbox
- 模糊C均值聚类是在HCM的基础上改进而来的，更能客观合理的对样本进行分类。-Fuzzy C-means clustering is improved on the basis of HCM, the more objective and reasonable to classify the samples.
Fuzzy-classification
- Fuzzy classification of brain MRI using a priori knowledge weighted fuzzy C-means
KMeans_1.1
- c均值聚类，可以实现设定数据个数和分类个数-c-means clustering, can set the number and classification of the number of data
k-means-algorithm-implement
- 用于实现K-MEANS聚类分析的C++代码-Used to implement the K-MEANS clustering analysis of the C++ code
kecheng2011
- 课程设计要求 0 实验一 基于模板匹配的字符识别 1 实验二 基于C均值算法的车辆检测与跟踪 3 实验三 水果分类系统设计 5 实验四 基于遗传算法的图像歪斜校准 6 实验五 基于BP网络的函数逼近 9 实验六 空调模糊控制系统设计 -Curriculum design requires 0 Experimental one based on template matching character recognition 1 C-means algorithm
fcm1r
- 对图像进行模糊C均值算法聚类的一个源程序，可以学习一下算法。-The image fuzzy C-means clustering algorithm, a source, can learn about algorithms.