搜索资源列表
FCM
- FCM算法是模糊聚类算法，是在对K-MEANS算法的基础上改进的聚类算法，比L-MEANS算法有更好的效果-FCM algorithm is a fuzzy clustering algorithm, clustering algorithm is improved based on the K-MEANS algorithm, the L-MEANS algorithm is better than the effect of it
FCM
- 核聚类算法：聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中 的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚 类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
Fuzzy-Association-Rule-Mining
- thats really work for association mining
fcm2
- 简单的模糊c均值的matlab程序，希望对大家有所帮助，如有不对，请告知。-Simple fuzzy C mean Matlab procedures, we want to help, if there is wrong, please let us know.
solo3-20150307-64-bit-binary-.x86_64
- 此附件是solo3，由美国UCAR,NCAR开发。用于画WSR-88D天气雷达的雷达反射率回波，径向速度。同时，能简单的退模糊，不过是手动的。此附件为编译好的linux 64位软件，可直接使用。-This annex is solo3, by American UCAR, NCAR developed. Radar reflectivity echo for drawing WSR-88D weather radar radial velocity. At the same time, you
NNSimulator
- Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic)-Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic)
FUZZYaEVOULOTIONARY-
- hybrid fuzzy & (pso-DE-GA)
document
- Analysis of NSL-KDD Dataset for Fuzzy Based Intrusion Detection System
Kmedoids
- 实现K-medoids模糊聚类算法，增加聚类有效性-K-medoids fuzzy clustering algorithm to achieve, increase the effectiveness of clustering
MATLAB-generate-fuzzy-rules
- MATLAB通过数据挖的方法，得到模糊控制规则，用来进行模糊控制。-MATLAB through data mining method to obtain a fuzzy control rule for fuzzy control.
FCCI
- 模糊联合聚类，可以同时对样本和样本属性进行模糊化，提高算法精度。-fuzzy co-clustering approcah in whitch both the objects and the features
FCM-(2)
- 本人自己写的模糊均值算法，采用c#语言，经过测试可以运行。-I write my own fuzzy average algorithm, using c# language, through the test can be run.
python_fcm
- 我自己写的关于模糊进制分类的算法，采用二维数据，经过测试可以运行。-I wrote about fuzzy classification algorithm into the system, USES the two-dimensional data, after the test can be run
P1-s2.0-S0957417410001107-main
- Business cycle predictions face various sources of uncertainty and imprecision. The uncertainty is usually linguistically determined by the beliefs of decision makers. Thus, the fuzzy set theory is ideally suited to depict vague and uncertain feature
upload
- genetic algorithm for optimization and bee colony algorithm accompanied by fuzzy c means clustering .
K-Means-master
- 模糊C均值聚类算法的PYTHON实现，在UCI的IRIS数据集上实现-Fuzzy C-means clustering algorithm PYTHON realization, implemented on UCI s IRIS data set
fuzzy
- 模糊聚类分析是根据客观事物间的特征、亲疏程度、相似性，通过建立模糊相似关系对客观事物进行聚类的分析方法。-Fuzzy clustering analysis based on objective characteristics, the degree of relatedness, similarity, through the establishment of fuzzy cluster analysis method of objective things.
FCMCluster
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点
FJIR.R
- 模糊聚类分析 - 建立模糊相似矩阵，以R语言实现。-build a fuzzy matrix
Fuzzyclustering
- 基于MATLAB实现的模糊聚类算法，程序包含了多种聚类算法，实验效果较好。-MATLAB based on the realization of fuzzy clustering algorithm, the program contains a variety of clustering algorithms, the experimental results are better.