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liziqunsuanfajiangzhanwei
- The clustering method based on the objective function can not adapt to the large amount of data, so it can also highlight the practical significance of the objective function. As we all know, in the FCM algorithm and some FCM algorithm, the algorithm
cmohu
- C均值聚类算法的MATLAB程序,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-C mean clustering algorithm MATLAB procedures, in many fuzzy clustering algorithm, fuzzy C- means (FCM) algorithm is the most widely used and successful
FCM
- Data clustering by using Fuzzy c means, where c means number of cluster, m means weight of membership function matrix, X means data input.
FCM
- 一种更有效的聚类算法，能有效的改进寻优过程，从而得到更优解-a better cluster GA
fcm-otu
- Clustering is a process for classifying objects or patterns in such a way that samples of the same group are more similar to one another than samples belonging to different groups. Many clustering strategies have been used, such as the hard clu
KFCM-paper
- 6篇关于核模糊聚类的国内文章。核模糊聚类算法是对经典的模糊聚类FCM的核化版本。-6 on nuclear fuzzy clustering domestic articles. Kernel fuzzy clustering algorithm nuclear version of the classical fuzzy clustering of FCM.
CCA
- 新型可信性聚类算法CCA，聚类性能比FCM和K-Means要好很多-A data clustering method partitions unlabeled data sets into clusters and labels them for various goals such as computer vision and pattern recognition.
06341870
- Abstract—This paper proposes a new strategy to meet the controllable heating, ventilation, and air conditioning (HVAC) load with a hybrid-renewable generation and energy storage system. Historical hourly wind speed, solar irradiance, and load d
FCM
- classification de fuzzy c means clustering implmente en c++ ..
FCM
- 模糊聚类程序，可以很好地用于无噪图像的图像分割。-Fuzzy clustering procedure can be well used for noiseless image segmentation.
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.
1_FCM_S
- 利用FCM算法进行彩色图像的分割，效果很高，高速有效。-FCM algorithm is used for color image segmentation, high effectiveness, speed and effective.
FCM_Sparse
- FCM和稀疏场水平集用于分割医学图像分割-FCM and sparse field level set for segmentation of medical image segmentation
segmentation
- Describe image segmentation using FCM
fcm
- 模糊C均值实现聚类分析，经过测试可以正常运行-Fuzzy C-Means
Sshannon-and
- FCM，即流式细胞术，是一种可以对细胞或亚细胞结构进行快速测量的新型分析技术和分选技术。-GOOD TEXTI
GAPSOFCM
- 遗传算法和粒子群算法，应用于优化据数据集的聚类中心，结合FCM算法应用聚类分析的几篇文献。-Genetic algorithm and particle swarm optimization (pso) algorithm, are applied to optimization the clustering center of the data set
FCM
- 基于自适应迷糊C-聚类的图像分割 有一些瑕疵，自适应部分的代码可能有以下问题-Adaptive image segmentation based on fuzzy clustering C- have some flaws, the adaptive part of the code may have the following questions
ARKFCM_demo
- 脑图像分割基于自适应正则化的基于核的FCM分割，希望对大家有用-Brain Image Segmentation Based on Adaptive Regularization Based on Kernel FCM segmentation, we hope to be useful
fuzzy-c
- 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum, in order to overcome this drawback, the genetic algorithm is applied to the fuzzy C- means