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Description: 用java 实现 fuzzy c mean 图像的聚类
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Size: 2574574 |
Author: 刘宗斌 |
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Size: 1024 |
Author: 利军 |
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Description: A new level set model without initialization, very time efficient compared with former level set model.-A new level set model without initializati on, very time efficient compared with former level set model.
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Size: 778240 |
Author: Maybe |
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Description: 数字图像处理电子书 by K.R.Castkeman 很好的参考价值-E-book digital image processing by KRCastkeman good reference value
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Size: 25607168 |
Author: tiger |
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Description: 基于C++的模糊k均值算法，采用的集成软件开发环境为vc-It is the codes of Fuzzy k-means,
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Size: 3072 |
Author: 陈伟 |
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Description: k-means clustering algorithm, C means Fuzzy clustering algorithm-k-means clustering algorithm, C means Fuzzy clustering algorithm...
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Size: 119808 |
Author: mihee |
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Description: 模糊 C-平均(FCM)算法
验证过，可以运行。-Fuzzy C-mean (FCM) algorithm
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Size: 1024 |
Author: 小馨 |
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Description:
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Size: 6144 |
Author: jay |
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Description: 模糊c均值 图像压缩里面可以用到的 使用效果不错-Fuzzy c means which can be used in image compression using the good results
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Size: 1388544 |
Author: 王强 |
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Description: 模糊c均值的源代码，自己调试过，可运行，希望对正在做聚类分类方面的你有帮助！欢迎下载-Fuzzy c mean source code, I have debugged it already ,can run ,I hope it useful to you if you are dealing with this field.welcome to download it!
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Size: 110592 |
Author: chuncheng |
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Description: FCM算法 可以仔细研究~~~~是matlab中可调用的-Fuzzy c-mean algorithm
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Size: 4096 |
Author: 华仔 |
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Description: 实现图像模糊C_均值聚类分割，包含算法思想和matlab源程序-Fuzzy C_ c-mean partition
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Size: 618496 |
Author: 赵姣姣 |
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Description: 模糊C均值聚类分割图像 MATLAB源码-Fuzzy C-Mean segment image matlab code
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Size: 1024 |
Author: 冯涛 |
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Description: fuzzy c-mean code in matlab in brain segmentation
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Size: 1024 |
Author: loly |
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Description: fuzzy c mean clustring matlab code
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Size: 1024 |
Author: hafido |
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Description: here i am representing a Fuzzy C mean clustering algorithm java source code
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Size: 2130944 |
Author: Abood |
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Description: 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.)
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Size: 223232 |
Author: Cinly
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Description: 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.)
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Size: 7168 |
Author: 蒙奇H |
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Description: 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.)
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Size: 195584 |
Author: 赵亮 |
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Description: 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.)
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Size: 1024 |
Author: 灰烬使者灬 |
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