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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.
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Size: 198656 |
Author: guoguo |
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Description: 结合HCM和FCM优点的一种新的高效算法。-HCM and FCM combines the advantages of a new efficient algorithm.
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Size: 238592 |
Author: 王鑫 |
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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: 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.
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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: a new version of implemented FCM on matlab
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Size: 7168 |
Author: chaperon |
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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: to detect ROi using FCM
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Size: 1024 |
Author: anusuya |
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Description: 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 data are
used to stochastically model the wind generation, photovoltaic
generation, and load. Using fuzzy C-Means (FCM) clustering,
these data are grouped into 10 clusters of days with similar data
points to account for seasonal variations. In order to minimize
cost and increase efficiency, we use a GA-based optimization
approach together with a two-point estimate method. Minimizing
the cost function guarantees minimum PV and
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Author: senthil |
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Description: 文章Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure的代码实现(the code of Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure)
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Size: 604160 |
Author: 开心@~~~~
|
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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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