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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.
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Size: 26417 |
Author: yang |
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Description: 程序说明：
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。
已知问题及进一步改进建议：
问题：dbscan.cs行64，SortedList不支持重复键，因此若两个数据点距离相同则无法加入集合
解决：采用人为减小一个微小量，使数据点距离不同且不影响聚类结果
上一解决方案的问题：减小double.Epsilon微小量无助于使SortedList认为两点距离以及不同
解决：采用一个指数增长的微小量，连续重试直至SortedList认为距离已经不同
进一步改进建议：可能通过double的强制转型为内存中的byte类型（假设double型转为8个byte）
然后最后一个byte减去0x01可比较漂亮的解决问题，但是……呵呵，C#中我不会这个操作
也可以自己实现一个SortedList，支持重复键，当然，这，好像是微软应该做的工作了 ^_^
Eric Guo
<http://www.cnblogs.com/ericguo/>
-procedures : Form1.cs clustering algorithm is applied DBSCAN (Density-Based Spati cal Clustering of Application with Noise) example, two parameters can EPS and MinPts regulation clustering. DBSCAN.cs is, the clustering algorithm further information please refer to the "data mining" or books related data clustering example from sxdb.m db, an Access database. Known issues and recommendations for further improvement : : 64 dbscan.cs OK, SortedList not support duplicate keys, and therefore if two data points from the same pool can not be solved by adding : By applying an artificially reduce a small amount of data from different points without clustering results on the impact of a solution of the problem : double.Epsilon small decrease in the amount of helplessness to make that 2:00 S
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Size: 15653 |
Author: Huang Yi |
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Description: 该源码是基于密度聚类分析的最经典的DBSCAN算法的原始结构框架
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Size: 852 |
Author: 王桂芝 |
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Description: 数据挖掘,聚类分析,DBSCAN C++的实现,
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Size: 1891 |
Author: 古力 |
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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: 18542 |
Author: 蔡宗欣 |
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Description: DBScan算法，在matlab中实现
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Size: 1858 |
Author: 刘佳 |
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Description: 数据挖掘中聚类算法之DBSCAN算法的matlab实现。
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Size: 1021 |
Author: caoyuan |
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Description: dbscan算法实现，Written by Michal Daszykowski The University of Silesia
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Size: 1892 |
Author: 旖罗 |
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Description: DBSCAN算法VC++源代码，已通过编译
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Size: 21433 |
Author: 伊罗 |
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Description: 经典的基于密度的聚类算法，DBSCAN。适合处理球状数据，对大规模数据支持不好
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Size: 6881 |
Author: 肖宪 |
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Description: DBSCAN是一种性能优越的基于密度的空间聚类算法．利用基于密度的聚类概念，用户只需输入一个参数，DBSCAN算法就能够发现任意形状的类，并可以有效地处理噪声．这里是用C# 编写的，以兰花数据集作为测试数据的代码。
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Size: 35559 |
Author: 烈马 |
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Description: 数据挖掘中dbscan算法的vc实现的源代码-Source code of DBSCAN algorathm of data mining with VC
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Size: 124342 |
Author: 张乐 |
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Description: DBSCAN Designed by Dr. Michal aszykowski Department of Chemometrics Institute of Chemistry, The University of Silesia. It s the basic one.
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Size: 1881 |
Author: He |
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Description: DBscan java
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Size: 1972 |
Author: fan010fan |
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Description: 基于密度的一种快速算法，这篇英文文章值得一看。-based on the density of a fast algorithm, is worth looking at this article in English.
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Size: 103424 |
Author: 李中 |
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Description: 这是一个DBSCAN算法在2维空间上的实现 包括这个算法的理论分析 算法实现 希望对你们有点帮助-DBSCAN algorithm in two-dimensional space, including the realization of this algorithm analysis algorithm want to help you a bit
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Size: 479232 |
Author: 魏超 |
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Description: 二维的DBSCAN聚类算法，输入（x,y）数组，搜索半径Eps，密度搜索参数Minpts。输出: Clusters，每一行代表一个簇，形式为簇的对象对应的原数据集的ID-two-dimensional clustering algorithm, the input (x, y) array, search radius Eps. Minpts density search parameters. Output : Clusters, each firm on behalf of a cluster, in the form of clusters of objects corresponding to the original data set ID
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Size: 1024 |
Author: 胡瑞飞 |
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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: 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 |
Author: |
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Description: DBSCAN算法的JAVA实现,可以在D:\使用text.txt数据文件来进行DBSCAN聚类-DBSCAN algorithm JAVA, the D : \ text.txt data files used for clustering DBSCAN
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Size: 16384 |
Author: 赵发毅 |
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