Description: 现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡-The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of Platform: |
Size: 2048 |
Author:ben |
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Description: CURE（Clustering Using Representatives）是一种针对大型数据库的高效的聚类算法。基于划分的传统的聚类算法得到的是球状的，相等大小的聚类，对异常数据比较脆弱。CURE采用了用多个点代表一个簇的方法，可以较好的处理以上问题。并且在处理大数据量的时候采用了随机取样，分区的方法，来提高其效率，使得其可以高效的处理大量数据。-CURE (Clustering Using Representatives) is a database for large and efficient clustering algorithm. Based on the breakdown of the traditional clustering algorithm is spherical, equal-sized cluster of abnormal data more vulnerable. CURE adopted by a number of points on behalf of a cluster approach can better deal with these questions. And deal with large amount of data when using the random sampling, area way to improve its efficiency so that it can handle large amounts of data and efficient. Platform: |
Size: 21504 |
Author:肖宪 |
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Description: 复杂网络中有一些常见的基本模型，如随机图，WS小世界网络，NW小世界网络及BA无标度网络等，本程序从这些网络的产生机理，生成了这些复杂网络模型，并且分析了其基本性质如平均路径长度，聚类系数及度分布等。-Complex networks have some common basic model, such as random graph, WS small-world networks, NW small-world networks and scale-free BA network, the program generated from the mechanism of these networks to generate the complex network model and analysis its basic nature, such as the average path length, clustering coefficient and degree distribution. Platform: |
Size: 10240 |
Author:whuic |
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Description: J-linkage 算法，可以用于多体拟合的一种策略，优于Multi-ransac-This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual data representation. Each point is represented with the characteristic function of the set of random models that fit the point. A tailored agglomerative clustering, called L-linkage, is used to group points belonging to the same model. The method does not require prior speci?cation of the number of models, nor it necessitate parameters tuning. Experimental results demonstrate thesuperior performances of the algorithm. Platform: |
Size: 275456 |
Author:tomas |
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Description: K-means is a clustering algorithm
In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve as the initial centroids.
There are two function for that the kMeanCluster and distMatrix Platform: |
Size: 2048 |
Author:Luis |
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Description: 改进的Salama网络拓扑随机生成算法通用Matlab程序，在随机抛撒节点的时候使用了K均值聚类，网络节点分布均匀且疏密得当，边的分布也比较均衡。-Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density distribution and appropriate, a more balanced distribution of the edge. Platform: |
Size: 5120 |
Author:成龙 |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the Platform: |
Size: 897024 |
Author:周二牛 |
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Description: 模糊c均值聚类 FCM算法用matlab实现的，从随机初始化划分矩阵开始迭代。-Fuzzy C means clustering algorithm FCM realized by MATLAB, from the random initialization partition matrix starting the iteration. Platform: |
Size: 6144 |
Author:xnzds |
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Description: 该压缩包中包含：BA无标度网络、随机图、WS小世界网络、NW小世界网络、最近邻耦合网络、平均路径长度、度分布、聚类系数的matlab源代码。-The compressed packages that include: BA scale-free network, random map, WS small world network, network, the small world NW neighbour coupling network, average path length, clustering coefficient and distribution of the matlab source code.
Platform: |
Size: 11264 |
Author:李德裕 |
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Description: 聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。-Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position. Platform: |
Size: 1024 |
Author:郑志鹏 |
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Description: ER 模型网络生成的matlab代码
计算网络的度分布、集簇系数
网络科学作业
-ER model
generate a random network of nodenum nodes with probability of 0.1 and calculate average degree, average clustering coefficient and degree distribution Platform: |
Size: 1024 |
Author:陈力 |
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Description: 现代信号处理中谱估计在matlab中的使用，真的是一个好程序，主要是基于mtlab的程序，快速扩展随机生成树算法，有小波分析的盲信号处理，采用偏最小二乘法，基于欧几里得距离的聚类分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器。- Modern signal processing used in the spectral estimation in matlab, Really is a good program, Mainly based on the mtlab procedures, Rapid expansion of random spanning tree algorithm, There Wavelet Analysis Blind Signal Processing, Partial least squares method, Clustering analysis based on Euclidean distance, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter. Platform: |
Size: 7168 |
Author:jgtst |
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Description: 随机调制信号下的模拟ppm，在matlab环境中自动识别连通区域的大小,课程设计时编写的matlab程序代码，是机器学习的例程，进行波形数据分析,用MATLAB实现动态聚类或迭代自组织数据分析，包括随机梯度算法，相对梯度算法。- Random ppm modulated analog signal under Automatic identification in the matlab environment the size of the connected area, Course designed to prepare the matlab program code, Machine learning routines, Waveform data analysis, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including stochastic gradient algorithm, the relative gradient algorithm. Platform: |
Size: 8192 |
Author:qfqgw |
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Description: This toolbox is meant to facilitate the manipulation of images and video in Matlab. Its purpose is to complement, not replace, Matlab's Image Processing Toolbox, and in fact it requires that the Matlab Image Toolbox be installed. Emphasis has been placed on code efficiency and code reuse. Thanks to everyone who has given me feedback - you've helped make this toolbox more useful and easier to use.(The toolbox is divided into 7 parts, arranged by directory:
channels Robust image features, including HOG, for fast object detection.
classify Fast clustering, random ferns, RBF functions, PCA, etc.
detector Aggregate Channel Features (ACF) object detection code.
filters Routines for filtering images.
images Routines for manipulating and displaying images.
matlab General Matlab functions that should have been a part of Matlab.
videos Routines for annotating and displaying videos.) Platform: |
Size: 9680896 |
Author:redkisses
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Description: K-means clustering algorithm based on the PSO, Rapid expansion of random spanning tree algorithm, About ultrasonic parking radar ranging. Platform: |
Size: 6144 |
Author:neifougingseng
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Description: 展示了如何生成一个随机无标度网络图，基本结构分析，包括度分布、聚类系数等。观察两种类型的攻击对网络的影响：随机攻击（所有的几点有相同的概率从网络中删除）、有目标地选择连接度最大的节点（节点度最大的节点从网络中删除）。(Shows how to generate a random scale-free network graph, basic structural analysis, including degree distribution, clustering coefficients, etc. Observe the impact of two types of attacks on the network: Random attacks (all points have the same probability of being removed from the network), and select the node with the highest degree of connectivity (the node with the highest node degree is removed from the network).) Platform: |
Size: 1024 |
Author:jjjustin0219 |
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Description: 随机产生5类二维坐标系中的数，使用SOM网络进行无监督聚类，将产生的随机数自动聚成五类，并将结果用图像直接显示出来，生成训练好的网络权值(Five kinds of random numbers in two-dimensional coordinate system are generated randomly, and unsupervised clustering is carried out using SOM network. The random numbers generated are automatically clustered into five categories, and the results are displayed directly with images to generate the trained weights of the network.) Platform: |
Size: 57344 |
Author:xldtyh |
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Description: 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divide appropriate classes. Finally, the random 3D point cloud will be displayed in different colors after clustering.) Platform: |
Size: 1024 |
Author:woyaokaobo |
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Search - clustering random matlab