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. Platform: |
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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 Platform: |
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Author:魏超 |
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Description: 采用C++语言编写的，用于聚类相关方面的dbscan算法源程序，希望大家共同提高-using the C language for the relevant aspects of clustering algorithm source dbscan hope that we can raise! ! Platform: |
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Author:周君 |
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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. Platform: |
Size: 26624 |
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 Platform: |
Size: 26624 |
Author:Huang Yi |
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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 Platform: |
Size: 16384 |
Author:赵发毅 |
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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-The source is based on the density of cluster analysis of the most classic of the original structure DBSCAN algorithm framework Platform: |
Size: 1024 |
Author:王桂芝 |
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Description: dbscan算法实现，Written by Michal Daszykowski The University of Silesia
-dbscan algorithm, Written by Michal Daszykowski The University of Silesia Platform: |
Size: 2048 |
Author:旖罗 |
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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．-DBSCAN is a superior performance of space-based density clustering algorithm. The use of the concept of density-based clustering, the user can enter a parameter, DBSCAN algorithm to be able to find any type of shape, and can effectively deal with noise. Platform: |
Size: 34816 |
Author:sdsd |
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Description: 用java写的DBscan算法，支持文本读入，并且结果可以用图像显示的-With DBscan algorithm written in java, read text, and the results can be graphically Platform: |
Size: 2048 |
Author:Calvin Chen |
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Description: DBSCAN算法，利用数据集中密度差异来区分不同聚类。-DBSCAN algorithm, the density difference between the use of data sets to distinguish between different cluster. Platform: |
Size: 5120 |
Author:zhoujingbo |
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