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Description: 一个采用快速模糊C均值（FFCM）算法实现图像分割的DLL程序！可以用来处理8位的BMP图像！-a fast fuzzy c-means (FFCM) image segmentation algorithm DLL procedures! Can be used to deal with eight of BMP images!
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Size: 40960 |
Author: 徐敏 |
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Description: FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest similarity between the object, and the similarity between different cluster minimum. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for the data are divided into hard and fast, and FCM is a soft fuzzy partition
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Size: 1312768 |
Author: colin |
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Description: 模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
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Size: 2048 |
Author: fujie |
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Description: 基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize
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Size: 1024 |
Author: 盛春冬 |
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Description: 基于matlab写的HCM和FCM程序，以及快速算法KFCM算法，对写毕业设计的很有用-Based on matlab HCM and FCM written procedures and fast algorithm for writing, KFCM algorithm of graduation design is very useful
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Size: 402432 |
Author: baijiangfeng |
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Description: 基于 MAS 建立的分布并行计算环境，其任务调度问题具有新的特点 对于基于MAS 的配电快速仿真与模拟系统，以配电
网三相状态估计为例，建立了新的调度问题模型，提出了基于FCM 的启发式任务调度优化方法 该方法利用模糊C 均值聚类分析
算法对独立任务进行聚类分析，避免了在超大解空间中用基于搜索的方法去寻求最优解的做法 该方法具有线性时间复杂度，而
且通过大量算例表明它总是能够在合理的时间内获得次优解或最优解，使masDSE 的性能有明显改善-In the distributed parallel computing environment based on MAS， some new characteristics has brought forword to the
Task Scheduling.Aimed at task scheduling in distribution fast simulation and modeling that is based on MAS， develope a new
model for Task Scheduling； Propose a new heuristic task scheduling optimization algorithm based on fuzzy C-means clustering
algorithms.This algorithm not only has linear time complexity， but also gets near-optimal solution or optimal solution stably， and
significantly improves the performance of masDSE.This conclusion is proved by large number of case test.
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Size: 274432 |
Author: macrotone |
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Description: 一种新的快速迷糊C均值聚类图像的分割算法。对于模糊聚类的图像分割的速度慢的这一缺陷进行了改进。-A new fast confused C clustering image mean segmentation algorithm. For fuzzy clustering image segmentation speed slow this defect was improved.
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Size: 317440 |
Author: 白鑫 |
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Description: 利用模糊均值聚类（FCM）算法实现数据聚类，并给出群心-Data Clustering with FCM method,It s fast and effective.
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Size: 1024 |
Author: Jacky |
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Description: FCM源代码，专门用于图像分割的，速度很快-FCM source code, specifically for image segmentation, very fast
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Size: 2048 |
Author: 白雪 |
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Description: 用FCM 对自然图像 sar图像以及纹理图像进行快速分割 ，用一维和二维直方图分别对图像进行特征映射 从而快速的对图像进行分割 包含结果截图-By FCM sar image of natural images quickly and texture image segmentation, with one-dimensional and two-dimensional histogram of the image feature maps were so fast image segmentation screenshot contains the results
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Size: 29097984 |
Author: 小丹丹 |
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Description: fcm 及快速fcm实现图像分割，还带有GUI界面-fcm fcm and fast image segmentation, but also with GUI interface
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Size: 401408 |
Author: 崔兴海 |
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Description: we present an improved fuzzy
C-means (FCM) algorithm for image segmentation by introducing
a tradeoff weighted fuzzy factor and a kernel metric. The
tradeoff weighted fuzzy factor depends on the space distance of
all neighboring pixels and their gray-level difference simultaneously.
By using this factor, the new algorithm can accurately
estimate the damping extent of neighboring pixels. In order to
further enhance its robustness to noise and outliers, we introduce
a kernel distance measure to its objective function. The new
algorithm adaptively determines the kernel parameter by using
a fast bandwidth selection rule based on the distance variance
of all data points in the collection. Furthermore, the tradeoff
weighted fuzzy factor and the kernel distance measure are both
parameter free. Experimental results on synthetic and real images
show that the new algorithm is effective and efficient, and is
relatively independent of this type of noise.
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Size: 1024 |
Author: 李蕾 |
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Description: 一种快速FCM图像分割方法，适合入门学习(A fast FCM image segmentation method)
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Size: 1058816 |
Author: ljfa
|
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Description: 一种快速的抗噪声模糊C均值图像分割算法
图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出。该算法结合像素灰度值相似度和隶属度构造了一个新的空间函数。该空间函数用于更新成员关系，而成员关系又用于迭代地获取聚类中心。所提出的算法可以在较少的迭代次数下获得理想的分割结果，有效地降低了噪声的影响。(A fast anti noise Fuzzy C-Means Image Segmentation AlgorithmImage segmentation is to divide the image into several specific, unique areas and propose. In this algorithm, a new spatial function is constructed by combining the similarity and membership of pixel gray value. The spatial function is used to update the membership, and the membership is used to obtain the cluster center iteratively. The proposed algorithm can get ideal segmentation results with less iterations and effectively reduce the impact of noise.)
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Size: 294912 |
Author: 李咿呀咿呀哟 |
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