Search - fuzzy mean

Search - fuzzy mean - List

【Mathimatics-Numerical algorithms】新建文件夹 DL : 0: FCM模糊C均值算法MATLAB程序，用于进行特征分析、数据分析等。(FCM fuzzy C mean algorithm MATLAB procedures)
Update : 2024-04-29 Size : 3072 Publisher : 稳稳的
【Big Data】 skkgshq DL : 0: 自行implement的k-mean(含fuzzy c mean),可以直接於vc++針對大量數據 M行分群的動作()
Update : 2024-04-29 Size : 3072 Publisher : Aneony
【Other】 KWNASO DL : 0: 自行implement的k-mean(含fuzzy c mean),可以直接於vc++針對大量數據 M行分群的動作()
Update : 2024-04-29 Size : 3072 Publisher : hevcn
【Other】 KFCM-master DL : 0: 基于核方法的模糊C均值聚类，考虑到空间数据之间的相关性，结合各点的邻域信息，在原代码中添加邻域信息：(The fuzzy C mean clustering based on kernel method, considering the correlation of spatial data and combining the neighborhood information of each point, adding neighborhood information to the original code.)
Update : 2024-04-29 Size : 223232 Publisher : Cinly
【Special Effects】模糊C均值算法 DL : 0: 亲测，能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
Update : 2024-04-29 Size : 2048 Publisher : duanwu
【matlab】 FCM DL : 0: 实现灰度图像的模糊C均值聚类，并显示迭代次数和迭代结果(The fuzzy C mean clustering of gray image is realized, and the number of iterations and iterations are displayed.)
Update : 2024-04-29 Size : 1024 Publisher : aallo
【matlab】模糊C均值聚类算法 DL : 0: 模糊c-均值聚类算法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，一般用于故障识别与分类。(Fuzzy c- mean clustering algorithm obtains the membership degree of every sample point to all class centers by optimizing the objective function, and determines the classification of the sample points to achieve automatic classification of sample data. It is generally used for fault recognition and classification.)
Update : 2024-04-29 Size : 2048 Publisher : 夜曲独声
【Mathimatics-Numerical algorithms】 8660260 DL : 0: 自行implement的k-mean(含fuzzy c mean),可以直接於vc++針對大量數據 M行分群的動作()
Update : 2024-04-29 Size : 3072 Publisher : mxxax%2B83002
【matlab】 FCM DL : 0: 使用模糊C均值聚类（FCM）的方法对状态进行分类，其优点首先是可以根据实际情况自动确定聚类中心，减少人工干涉的因素，其次，对状态特征参数不是进行硬分类，而是通过隶属度的表征方式对其聚类，更加符合现实状态类别之间不具备明显界限的实际问题。(The use of fuzzy C mean clustering (FCM) method to classify the state, its advantage is first can automatically determine the cluster center according to the actual situation, to reduce the interference of artificial factors, secondly, the state parameters are not hard classification, but through the characterization of Party membership of the cluster, more practical problems have not obvious the boundaries between reality state categories.)
Update : 2024-04-29 Size : 7168 Publisher : 蒙奇H
【Special Effects】 fcm1 DL : 0: 此程序采用 FCM，模糊c 均值方法，用于边缘检测(This program uses FCM, fuzzy C mean method, for edge detection)
Update : 2024-04-29 Size : 1024 Publisher : 发神经
【Other】遗传算法应用于模糊C均值聚类 DL : 0: 将遗传算法应用于模糊C均值聚类，可以取得不错的效果(The application of genetic algorithm to fuzzy C mean clustering can achieve good results.)
Update : 2024-04-29 Size : 195584 Publisher : 赵亮
【matlab】 FCMCluster DL : 0: 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。(Fuzzy c- means clustering algorithm fuzzy c-means algorithm (FCMA) or FCM. Among the many fuzzy clustering algorithms, the fuzzy C- mean (FCM) algorithm is the most widely used and more successful. By optimizing the target function, the membership degree of each sample point to all class centers is obtained, so as to determine the class genera of the sample points to automatically classify the sample data.)
Update : 2024-04-29 Size : 1024 Publisher : 灰烬使者灬
【Special Effects】中值滤波 DL : 0: 中值滤波可以保留目标边缘，这是中值滤波器相对于均值滤波器的最大优势。中值滤波具有去噪的性能，可以消除孤立的噪声点，可以用来减弱随机干扰和脉冲干扰，但是边缘不模糊。(Median filter can retain the target edge, which is the maximum advantage of median filter compared to mean filter. The median filter has the performance of denoising, which can eliminate the isolated noise point, which can be used to reduce the random interference and pulse interference, but the edge is not fuzzy.)
Update : 2024-04-29 Size : 10240 Publisher : 梁LHM
【matlab】 GA7 - ZS1 DL : 0: 基于遗传算法的主动悬架模糊控制，通过遗传算法来优化模糊控制的隶属度函数，以此来优化悬架的垂直加速度的方均根(Fuzzy control of active suspension based on genetic algorithm and membership function of fuzzy control are optimized by genetic algorithm to optimize the mean square root of vertical acceleration of suspension.)
Update : 2024-04-29 Size : 31744 Publisher : 张张张呀

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