Description: 这个源码是用遗传算法对FCM 算法进行改进后的算法，实现了对脑图像的自动分割，速度较快-the source is using genetic algorithms to FCM algorithm for improved algorithm, achieving the right brain's automatic image segmentation, faster Platform: |
Size: 839 |
Author:王强 |
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Description: 本文目前模糊C-均值聚类算法不适用于有噪声和样本不均衡等问题,借助改进算法AFCM和WFCM的思想,提出另一种新的聚类算法。它是AFCM和WAFCM结合的一种算法,但有着更好的健壮性和聚类效果。-This article is currently fuzzy C-means clustering algorithm is not applicable to samples of noise and uneven and so on, with improved algorithm AFCM and WFCM ideas, put forward a new clustering algorithm. It is a combination of AFCM and WAFCM an algorithm, but has better robustness and clustering effect. Platform: |
Size: 198656 |
Author:guoguo |
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Description: 遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改-Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format Platform: |
Size: 2048 |
Author:许翔 |
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Description: Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial neighborhood information into the standard FCM clustering algorithm. Two improved implementations of the k-nearest neighbor (k-NN) algorithm are introduced for calculating the weight in the SWFCM algorithm so as to improve the performance of image thresholding. Platform: |
Size: 293888 |
Author:silviudog |
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Description: 文对模糊C．均值(FCM)聚类算法的一种改进算法一特征加权的
FCM(WFCM)聚类算法，与FCM算法进行了测试比较。-Paper on fuzzy C. Mean (FCM) clustering algorithm An improved algorithm for a feature weighted FCM (WFCM) clustering algorithm, FCM algorithm was tested with the comparison. Platform: |
Size: 2243584 |
Author:王三 |
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Description: A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault classification. In the algorithm, the problem of fault
identification is translated to a constrained optimized
clustering problem. Using heuristic search of colony can find
good solutions. And according to the information content of
cluster center, it could merger surrounding data together to
cause clustering identification. The algorithm may identify
fuzzy clustering numbers and initial clustering center. It can
also prevent data classification from causing some errors.
Thus, applying in fault diagnosis shows validity of computing
and credibility of identification results. Platform: |
Size: 273408 |
Author:rishi |
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Description: 针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。-For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation. Platform: |
Size: 3078144 |
Author:殷皓君 |
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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: 用LLE算法对视频帧进行降维处理，然后用FCM算法对其进行视频摘要关键帧提取-LLE algorithm to reduce the dimension of the video frame data dimensionality reduction, and then use the FCM algorithm for key frame extraction Platform: |
Size: 7168 |
Author:冯燕 |
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Description: 是一个基于遗传算法改进的模糊C均值算法，很不错的代码。-It is a improved fuzzy C-means algorithm based on genetic algorithm , a very good code. Platform: |
Size: 17408 |
Author:简川霞 |
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Description: 基于FCM的改进遗传算法步骤以及程序，内容清晰，过程详细而明确，结果清楚，很不错。-FCM based on improved genetic algorithm steps, and procedures, clarity, detail and clear process, the results clearly, very good. Platform: |
Size: 2048 |
Author:cissymint |
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Description: 模糊C均值的改进算法，详细介绍了改进过程和原算法的原理，具有很好参考价值-Improved Fuzzy C- Means algorithm , described in detail the principles to improve the process and the original algorithm has a good reference value Platform: |
Size: 217088 |
Author:张苏楠 |
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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. Platform: |
Size: 1024 |
Author:李蕾 |
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Description: FCM算法是模糊聚类算法，是在对K-MEANS算法的基础上改进的聚类算法，比L-MEANS算法有更好的效果-FCM algorithm is a fuzzy clustering algorithm, clustering algorithm is improved based on the K-MEANS algorithm, the L-MEANS algorithm is better than the effect of it Platform: |
Size: 623616 |
Author:小小辛辛啊 |
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Description: 在图像分割中，FCM作为一种高效的分割方法收到广泛应用，FILCM分割算法是FCM算法的一种改进算法。(In image segmentation, FCM is widely used as an efficient segmentation method, and FILCM segmentation algorithm is an improved FCM algorithm.) Platform: |
Size: 91136 |
Author:honcoln
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Search - improved fcm algorithm