Description: Form1.cs是应用聚类算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通过两个参数EPS和MinPts调节聚类。DBSCAN.cs是全部算法的实现文件，聚类算法的进一步信息请参考“数据挖掘”或者相关书籍。聚类示例数据来自于sxdb.mdb，一个Access数据库。-Form1.cs clustering algorithm is applied DBSCAN (Density-Based S patical Clustering of Application with Noise) example, the two parameters can EPS and MinPts regulation clustering. DBSCAN.cs algorithm is the realization of all documents, the clustering algorithm further information please refer to the "data mining" or books. Clustering sample data from sxdb.mdb, an Access database. Platform: |
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Author:yang |
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Description: 中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.-Center drift is a non-supervised clustering algorithm (k-means algorithm with the similar, but more a wider range of applications), can be used for image segmentation, based on the realization of the source Matlab. MedoidShift is a unsupervised clustering algorithm (similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code. Platform: |
Size: 36864 |
Author:陈明 |
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Description: 基于蚁群算法的聚类问题程序，带有小部分注释-Based on Ant Colony Clustering Problem procedures, with a small portion of the Notes Platform: |
Size: 2048 |
Author:havy |
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Description: 一种 较新的聚类算法 Dominant-set 的代码，包括聚类算法的代码和测试代码。该算法最大特点 就是基于图理论的 ，相对于Normalized Cut,计算复杂度低很多，况且能自动决定类的个数 -A relatively new clustering algorithm Dominant-set the code, including the clustering algorithm code and test code. Most prominent feature of the algorithm is based on graph theory, and compared with the Normalized Cut, much lower computational complexity, decision Moreover automatically the number of categories Platform: |
Size: 3072 |
Author:曾祥林 |
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Description: 经典的基于网格和密度的聚类算法。适合处理大规模数据，效果很好-The classic grid-based clustering algorithm and density. Suited to deal with large-scale data, the effect of good Platform: |
Size: 197632 |
Author:肖宪 |
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Description: K-MEANS算法
输入：聚类个数k，以及包含 n个数据对象的数据库。
输出：满足方差最小标准的k个聚类。
处理流程：
（1） 从 n个数据对象任意选择 k 个对象作为初始聚类中心；
（2） 循环（3）到（4）直到每个聚类不再发生变化为止
（3） 根据每个聚类对象的均值（中心对象），计算每个对象与这些中心对象的距离；并根据最小距离重新对相应对象进行划分；
（4） 重新计算每个（有变化）聚类的均值（中心对象）-K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster centers (2) cycle (3) to (4) until a change in each cluster is no longer so far (3) according to each Clustering objects mean (central object), calculated for each object with these centers to object distance and in accordance with a minimum distance between a re-division of the corresponding object (4) re-calculated for each (change) clustering of the mean (central object ) Platform: |
Size: 3072 |
Author:快快 |
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Description: 用c++实现的CURE聚类算法 这是即DBSCAN算法后出现的基于密度的聚类算法-With c++ Realized CURE clustering algorithm DBSCAN algorithm that is, this is occurring after the density-based clustering algorithm Platform: |
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Author:刘年 |
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Description: This the Low Energy Adaptive Clustering Hierarchy routing protocol [LEACH] source code for wireless sensor network we have used.It is developed with MatLab7-This is the Low Energy Adaptive Clustering Hierarchy routing protocol [LEACH] source code for wireless sensor network we have used.It is developed with MatLab7 Platform: |
Size: 2048 |
Author:zamree |
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Description: 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation Platform: |
Size: 334848 |
Author:zhangyun |
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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 matlab source code, you can run, you need to change the format Platform: |
Size: 5120 |
Author:李慧 |
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Description: 这是一个基本的数模题目的套路，分析数模聚类问题，例子是乳腺癌的诊断模型，过程为标准化数据，逐步回归，分析主要因素，聚类方法有距离法和神经网络法，均附有源码和解释说明-This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standardized data, stepwise regression, analysis of major factors, clustering methods from the method and neural network are with source code and explanations Platform: |
Size: 624640 |
Author:林云龙 |
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Description: 使用MATLAB用模式识别中的k聚类的方法进行分类，提供源程序，有图示-Pattern Recognition using MATLAB with the k-clustering approach to classification, to provide source code, there are icons Platform: |
Size: 59392 |
Author:殷 |
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Description: 这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码-
这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码
This is a simple density peak clustering code, compared to the original author of the code to be concise and rapid. And provides RI index detection. With MATLAB programming code Platform: |
Size: 4096 |
Author:summer |
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Description: Size and complexity of data repositories collaboratively created
by Web users generate a need for new processing approaches.
In this paper, we study the problem of detection of
fine-grained communities of users in social networks, which
can be defined as clustering with a large number of clusters Platform: |
Size: 275456 |
Author:alireza0675 |
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Search - clustering with matlab code