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K-means一个用C++实现的聚类算法
-K-C means to achieve a clustering algorithm
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该软件是基于C均值算法的聚类软件,能对数值型数据集进行合理的聚类。-The software is based on the C - Means clustering algorithm software, capable of numerical data sets reasonable clustering.
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附有多个典型的聚类算法,可执行文件全集。-with more typical clustering algorithm, The Complete Works of executable files.
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聚类算法全集以及内附数据集,可以方便使用。-clustering algorithm and the Collected Works of containing data sets, it is convenient to use.
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k-means聚类算法在二维平面上的可视化实现
聚类时可以设置类数和迭代阈值
聚类结果用色彩和类圆清楚的表现出来-k-means clustering algorithm in a two-dimensional plane with the Visualization of clustering can be set up several categories and iterative threshold Clustering results using color and clas
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FCM与硬聚类算法,(HCM)的VB6.0实现及其应用-FCM clustering algorithm and hardware, (HCM) and its application VB6.0
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cluster in quest聚类算法是基于密度和网格的聚类算法。对于大型数据库的高维数据聚类集合。-cluster in quest clustering algorithm is based on the density of the grid and clustering algorithm. For large database of high-dimensional data clustering pool.
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经典cure聚类算法,实现用c++语言.大家-classic cure clustering algorithm, and using the c language. We look at
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Optics聚类算法 OPTICS没有显示地产生一个数据集合簇,它为自动和交互地聚类分析计算一个簇次序。这个次序代表了数据基于密度地聚类结构。它包含地信息,等同于从一个宽广地参数设置范围所获得的基于密度的聚类-Optics do not show clustering algorithm OPTICS to produce a collection of data clusters, it is automatically and interactively computing cluster
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Adaptive Grids for Clustering Massive Data Sets - MAFIA. It is a subspace clustering algorithm.-Adaptive Grids for Clustering Massive Data Sets- MAFIA. It is a subspace clustering algorithm.
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Clustering through Decision Tree Construction - CLTree - A subspace clustering algorithm.-Clustering through Decision Tree Construction- CLTree- A subspace clustering algorithm.
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Finding Generalized Projected Clusters in High Dimensional Spaces - ORCLUS - A subspace clustering algorithm.-Finding Generalized Projected Clusters in High Dimensional Spaces- ORCLUS- A subspace clustering algorithm.
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Fast Algorithms for Projected Clustering - PROCLUS - a traditional subspace clustering algorithm for high dimensional data-Fast Algorithms for Projected Clustering- PROCLUS- a traditional subspace clustering algorithm for high dimensional data
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Mean-shift聚类算法详细介绍,里面有丰富的图片和图形-Mean-shift clustering algorithm detail, which is rich in pictures and graphics
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hartigans Sequential Leader Clustering Algorithm in terms of OpenCV (ver.1.1)
Sequential Leader algorithm:
Hartigan, J. A. (1975), Clustering Algorithms. John Wiley and Sons, Inc., New York, NY.
1. Select maximum cluster "radius"
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In recent years, spectral clustering has become one of the most popular modern clustering algorithms.
It is simple to implement, can be solved efficiently by standard linear algebra software, and very often outperforms
traditional clustering algo
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clustering algorithm using visual basic
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熟悉c均值算法,通过程序语言实现该算法,比较每个聚类的初始均值不同时,算法结果的差别。理解动态聚类算法的算法思想-Familiar with the c means algorithm, the algorithm realized by programming language, compare the initial mean of each cluster is not the same time, the difference between algorithm results. Dyn
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以前保存的分簇算法模拟,真的不错,我也改进了一下。-Good clustering algorithm simulation, I improved a bit.
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这是一个很好的Hier聚类算法的事例,希望有用-This is a good example of Hier clustering algorithm, hope useful
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