Description: 聚类算法中常用欧氏距离，这篇文章描述了使用加权的方法。-clustering algorithm common Euclidean distance, this article describes the use of weighted method. Platform: |
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Author:石支柱 |
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Description: 聚类算法中常用欧氏距离，这篇文章描述了使用加权的方法。-clustering algorithm common Euclidean distance, this article describes the use of weighted method. Platform: |
Size: 18432 |
Author:石支柱 |
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Description: 加权k均值算法，或者称为加权C均值聚类算法-Weighted k-means algorithm, or as the weighted means clustering algorithm C Platform: |
Size: 1024 |
Author:忠波 |
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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: 对WSN的研究比较的有用，此文是WCA算法的源E文文档-WCA : A Weighted Clustering Algorithm for Mobile Ad Hoc Networks, Platform: |
Size: 202752 |
Author:li sheng |
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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: 在原始的fcm算法基础上，对算法中的聚类数c和加权指数m给出优选方法，进而而出了fcm参数优选自适应算法，通过人造数据与具有实际背景的数据验证可以看出该算法是有效的，该算法不但可以自适应的给出最佳的聚类数，而且可以验证聚类的有效性，达到最佳聚类的目的。-In the original fcm algorithm based on the number of clusters on the algorithm and the weighted index m given c preferred method, and then out of the fcm parameter optimization adaptive algorithm, artificial data and data validation with real background can be seen that algorithm is effective, the adaptive algorithm can give the best clustering number, and can verify the validity of clustering, to achieve the best clustering purposes. Platform: |
Size: 267264 |
Author:严德春 |
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Description: 在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法，
进而而出了 fcm 参数优选自适应算法，通过人造数据与具有实际背景的数据验证可以看出
该算法是有效的，该算法不但可以自适应的给出最佳的聚类数，而且可以验证聚类的有效性，
达到最佳聚类的目的-Fcm algorithm in the original, based on the number of clustering algorithms and the weighted index m given c preferred method, and then out of the fcm parameter optimization adaptive algorithm, synthetic data and practical background in data validation can be seen that the algorithm is effective, the adaptive algorithm can not only give the best number of clusters, and clustering can verify the validity of the purpose to achieve the best clustering Platform: |
Size: 3072 |
Author:谢阳 |
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Description: 奉文主要针对经典的Mean Shift跟踪算法均匀剖分整个颜色空间造成许多空的直方图区间以及不能准确表达目标
颜色分布的缺点，提出J，一种改进算法．该改进算法首先对目标的颜色进行聚类分析，根据聚类结果通过矩阵分解和正交变换
自适席地剖分日标的颜色空间从向确定对戍于每一聚类的子空间．在此基础上定义 一种新的颜色模型，该模型统计落入每
一颜色子空间的像素的加权个数并用高斯分布建模每一个子空间的颜色分布，并推导r一种相似性度量米比较目标和候选目
标的颜色模型之间的相似程度．最后基于该颜色模型提出J，改进算法．实验表 ，基于该颜色模型的改进算法比经典的Mean
Shift算法具有更好的性能，向跟踪时间与经典算法大致相 ．-The traditional Mean Shift tracking algorithm partitions uniformly the whole color space，leading to a great
number of void histogram bins，and is unable to represent accurately the color distribution of the object．To address
the problems，we present an improved algorithm．Firstly the object color is analyzed using a clustering algorithm，and
according to the clustering result the color space of the object is partitioned into subspaces by matrix factorization and
orthonormal transformation．Then a new color model is defined by considering the weighted number of pixels as well as
within—cluster distribution with Gaussian ．and a novel measure iS derived to evaluate the similarity between the reference
color model and the candidate mode1．Finally an improved algorithm is proposed based on the color mode1．Experiments
show that the improved algorithm has better performance than and is computationally comparable to the conventional
mean shift algorithm． Platform: |
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Author:陈方芳 |
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Description: 本文提出了一种节点密度和剩余能量传感器网络加权分群算法，该分群算法优化了群首
选择，均衡了网络节点的能量消耗，延长了网络的生命周期-This paper proposes a residual energy of sensor nodes in the network density and weighted clustering algorithm, the clustering algorithm to optimize the group' s first choice, balancing the energy consumption of network nodes to extend the network life cycle Platform: |
Size: 284672 |
Author:吴田 |
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Description: wireless script:
A Distributed Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Simulating Mobile Ad-Hoc Networks in City Scenarios
SOAMANET: A Tool for Evaluating Service-Oriented Architectures on Mobile Ad-Hoc Networks
Time varying channel modeling for ad-hoc mobile wireless networks
SOAMANET: A Tool for Evaluating Service-Oriented Architectures on Mobile Ad-Hoc Networks Platform: |
Size: 1024 |
Author:hippi |
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Description: 将用双线性插值归一化后的图像用2*2的窗口扫描加权方向的边缘图，用改进的模糊C均值聚类算法将图像聚类成为候选文字区域和非文字区域。-Bilinear interpolation owned by an after image edge map with 2* 2 the window scanned weighted direction, image clustering with improved fuzzy C-means clustering algorithm to become the candidate text region and non-text area. Platform: |
Size: 5120 |
Author:kaizizi |
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Description: 基于加权的中心化多视角聚类算法，matlab源码，可以找相关文章wCoFKM-Based on the center of the multi-angle weighted clustering algorithm, matlab source code, you can find related articles wCoFKM Platform: |
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Author: |
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Description: 对算法中的聚类数 c 和加权指数 m 给出优选方法，进而而出了 fcm 参数优选自适应算法-The clustering algorithm and the number of c-weighted index m gives the preferred method, and then out of the adaptive parameter optimization algorithm fcm Platform: |
Size: 1024 |
Author:matlab |
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Description: In this paper, we propose a learning automatabased
weighted cluster formation algorithm calledMCFA in
which the mobility parameters of the hosts are assumed to
be random variables with unknown distributions. In the proposed
clustering algorithm, the expected relative mobility of
each host with respect to all its neighbors is estimated by
sampling its mobility parameters in various epochs. MCFA
is a fully distributed algorithm in which each mobile independently
chooses the neighboring host with the minimum
expected relative mobility as its cluster-head. Platform: |
Size: 522240 |
Author:ShAzZ |
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Description: 基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。-region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fuzzy C-means clustering algorithm region segmentation of regional integration based ssim value, and finally fused image inverse wavelet transform Platform: |
Size: 6316032 |
Author:李欣怡 |
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Search - weighted clustering algorithm