搜索资源列表
fuzzy_k_means
- 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-data mining algorithms, fuzzy-K-means clustering algorithm source code for Fuzzy Cluster Analysis
HistHsfcm2
- 直方图模糊聚类算法，编译环境VC6.0，语言c,可以移植到到linux系统运行。算法功能图像分割-histogram fuzzy clustering algorithms, compiler environment VC6.0, language c, ported to Linux operating system. Functional image segmentation algorithm
FuzzyCluster
- 一个用于模糊聚类的算法。源码是基于VC平台下的Win32 console application-for a fuzzy clustering algorithm. VC source is based on the Win32 platform console application
qwrwqr
- 源码是有关模式识别与图像处理的，以及人工智能中的模糊算法，聚类算法 。-source of the pattern recognition and image processing, artificial intelligence and fuzzy algorithm, clustering algorithms.
rhrth
- 源码是有关模式识别与图像处理的，以及人工智能中的模糊算法，聚类算法 。-source of the pattern recognition and image processing, artificial intelligence and fuzzy algorithm, clustering algorithms.
fdgdfh
- 源码是有关模式识别与图像处理的，以及人工智能中的模糊算法，聚类算法 。-source of the pattern recognition and image processing, artificial intelligence and fuzzy algorithm, clustering algorithms.
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- 基于遗传算法的动态模糊聚类 基于遗传算法的动态模糊聚类-dynamic fuzzy clustering based on genetic algorithm dynamic fuzzy clustering
fcmdemo
- FCMDEMO displays a GUI window to let you try out various parameters in fuzzy c-means clustering for 2-D data. You can choose the data set and clustering number from the GUI buttons at right, and then click \"Start\" to start the fuzzy cluste
Fuzzy c-means algorithm
- 用模糊C均值聚类算法完成对输入数据的聚类。(Clustering using fuzzy C means clustering algorithm)
FeatureClusterer-master
- Application Fuzzy Clustering
boilier identification using Takagi Sugeno
- This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of modeling is applied to a non
FuzzyC-Means
- Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters
常用聚类
- 常用聚类的MATLAB程序，调试均可用。包含k均值聚类、模糊C均值聚类、模糊减法聚类、谱系聚类(Common clustering MATLAB program, debugging are available. Including k-means clustering, fuzzy C-means clustering, fuzzy subtraction clustering, pedigree clustering)
fcm
- 一个简单的模糊聚类的实例，实现了模糊聚类的基本原理，代码通俗易懂，带有数据集，可以直接运行(A simple example of fuzzy clustering, fuzzy clustering to achieve the basic principles of code easy to understand, with a data set, you can run directly)
fmid-v40
- fuzzy clustering toolbox ,fuzzy modeling toolbox ,gk clustering
c72e5dd2127eecc688cd6c5d0299e28b3ab1
- This paper focuses on the design of a novel control approach. Its contribution to the existing literature is that in the design of an interval type-2 fuzzy neural system, recursive fuzzy c-means clustering algorithm is used and the designed algorithm
28195402T2FLToolbox
- toolbox for matlab to build fuzzy logic systems
introduction
- related to the clustering data which is important
FRFCM
- Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
MKFCM
- Multiple Kernel Fuzzy Clustering