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Description: 使用c#实现了 基于密度的聚类 DBSCAN算法，附带坐标系，可以直观显示出聚类前和聚类后的点集，完整无错，可运行，完全原创！
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Size: 556961 |
Author: whitetiger0127@163.com |
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Description: 本文基于层次聚类的局限性，展开了描述，然后提出了解决办法。-Based on the hierarchical clustering limitations, launched a description, and then the solutions.
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Size: 175104 |
Author: 石支柱 |
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Description: DBSCAN源代码,是一种典型的基于密度的聚类算法-DBSCAN source code, is a typical example of the density-based clustering algorithm
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Size: 9216 |
Author: 龙卑鄙 |
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Description: 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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Size: 4096 |
Author: 陈妍 |
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Description: DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。-DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the "noise" of the spatial database found clusters of arbitrary shape.
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Size: 2048 |
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Description: 这是一种基于密度的聚类分析算法，可以发现任意形状的簇，可以发现噪声点。-This is a density-based clustering analysis algorithm can find clusters of arbitrary shape can be found noise points.
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Size: 2048 |
Author: dys |
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Description: DBSCAN 简单来说就是一种基于密度的聚类算法。
数据输入支持weka数据格式，里面有一个例子数据，结果与weka比较过，是相同的。
网上有一个DBSCAN的C#的源码，但是错的。-DBSCAN is simply a kind of density-based clustering algorithm. Data entry support weka data format, which is an example of data, results and weka comparison, is the same. Online there is a DBSCAN of C# source code, but wrong.
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Size: 57344 |
Author: 孙甲申 |
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Description: DBSCAN(Density-Based Spatial Clustering of Applacations with Noise)是一个比较有代表性的基于密度的聚类算法。程序用本人独立设计的，保留创意，拷贝不究！-DBSCAN (Density-Based Spatial Clustering of Applacations with Noise) is a more representative density-based clustering algorithm. Procedures for using his own independent design, and to retain creative, copy did not study!
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Size: 123904 |
Author: 王丽娅 |
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Description: 论述了医学图像挖掘在计算机辅助诊断中的作用，提出了采用灰度级作为 CT 图像特征的思想、灰度级的提取和存储方法，介绍
了采用决策树分类算法和基于密度的聚类算法对胸部和头部 CT 图像进行分类和聚类的结果及其分析，给出了分析的结论和进一步的研究方向。-Image mining Computer-aided diagnoses Luminance grade Classification Clustering
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Size: 156672 |
Author: Erin |
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Description: DBSCAN算法的matlab 实现。。基于密度的聚类算法-DBSCAN algorithm matlab implementation. . Density-based clustering algorithm. . .
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Size: 2048 |
Author: he harmony |
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Description: matlab的一种基于密度的聚类方法，和划分方法和中心计算方法比较效果较好-matlab a density-based clustering method, and the division method and the calculation of comparative effectiveness center is better
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Size: 3072 |
Author: 李政 |
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Description: 基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用，本文提出
的基于相对密度的聚类算法，在继承上述优点的基础上。有效地解决了基于密度的聚类结果对参数值过于敏感、参数
值难以设置以厦高密度簇完全被相连的低密度簇所包含等问题。-Density-based clustering algorithm because of its strong resistance to noise and can find clusters of arbitrary shape, etc., in the cluster analysis is widely used, the proposed clustering algorithm based on the relative density, in succession on the basis of the above-mentioned advantages. Effectively solve the density-based clustering results on the parameter value is too sensitive, difficult to set the parameter value to high-density clusters of buildings connected to the low-density clusters are completely contained and other issues.
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Size: 274432 |
Author: sdc |
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Description: ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数
据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一
邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空
间属性，同时又可以加快聚类的速度。-: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the " noise" found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed.
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Author: sdc |
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Description: 实验目的
1.对AIS数据按照上行、下行船舶轨迹点进行分类。
2.掌握基于密度聚类方法原理（以DBSCAN为例）。
3.熟悉AIS数据处理的基本方法。
4.熟悉船舶运动模式辨识的基本原理和方法。
实验环境
Matlab(Purpose
1. The AIS data are classified according to the upstream and downstream ship's track points.
2. Master the principle of density clustering based on DBSCAN as an example.
3. Familiar with the basic method of AIS data processing.
4. Familiar with the basic principles and methods of ship movement pattern identification.
lab environment
Matlab)
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Size: 258048 |
Author: benj
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Description: 发表在《science》上的一种基于密度峰值的聚类算法源程序(Cluster algorithm based on density peak)
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Size: 1024 |
Author: wutiantian
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Description: DBSCAN(Density-Based Spatial Clustering of Applications with Noise)是一个比较有代表性的基于密度的聚类算法。与划分和层次聚类方法不同，它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类。(DBSCAN is a representative density based clustering algorithm. Unlike the partition and hierarchical clustering method, it will be the largest collection of clusters is defined as the density connected points, to have sufficient division of high density clusters, clustering and discovery of arbitrary shape in spatial database in noise.)
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Size: 1024 |
Author: 扑棱扑棱
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Description: 基于密度的聚类方法，能够对任意形状进行聚类(The density-based clustering method that can cluster any shape)
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Size: 128000 |
Author: 平根星星
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Description: 给出基于密度的聚类之DBScan算法的具体思想和Matlab实现步骤(The idea of DBScan algorithm based on density clustering and the steps of Matlab are given)
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Size: 2048 |
Author: 皮皮时光机 |
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Description: 基于密度的聚类算法----DBSCAN算法的代码实现python(Density-based clustering algorithm----Code Implementation of DBSCAN Algorithms)
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Size: 1024 |
Author: 用户不存在1111 |
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