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Description: DBscan java
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Size: 1972 |
Author: fan010fan |
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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: 26624 |
Author: Huang Yi |
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Description: JAVA 本程序所实现的功能为对数据进行无监督的学习，即聚类算法-JAVA the procedures for the functions of data unsupervised learning, clustering algorithm
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Size: 7168 |
Author: puxx |
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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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Description: 聚类算法，k-means和dbscan算法-Clustering algorithm, k-means algorithm and dbscan
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Size: 15360 |
Author: heyueqiang |
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Description: 基于密度的聚类的实现，用JSP实现的，界面友好-Density-based clustering to achieve, using JSP to achieve, user-friendly
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Size: 5120 |
Author: 赵妍 |
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Description: 数据挖掘,聚类分析,DBSCAN JAVA的实现,
-Data mining, clustering analysis, DBSCAN JAVA realization
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Size: 216064 |
Author: wang |
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Description: DBSCAN的Java 数据挖掘 源代码-DBSCAN the Java Data Mining Source Code
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Size: 3830784 |
Author: 林春 |
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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
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Size: 2048 |
Author: Calvin Chen |
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Description: DBscan clustering algorithm source code in java
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Size: 7168 |
Author: kiran |
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Description: This is a manual for dbscan algorithm
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Size: 35840 |
Author: dogukan |
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Description: 基于密度的聚类算法 DBSCAN java-Density-based clustering algorithm DBSCAN java
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Size: 263168 |
Author: 李夏婕 |
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Description: Density Based Spatial Clustering of Applications of Noise
Uses a density-based notion of clusters to discover clusters of arbitrary shapes, in spatial databases
Key idea: for each object of a cluster, the neighborhood of a given radius contains at least a minimum number of data-objects. (i.e. the density of each cluster must exceed a threshold value)
Choosing the distance function is the critical parameter.
An object that appears to be part of Noise at present, might, at a later stage, be included into one of the clusters.
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Size: 4096 |
Author: nandish.hebbal |
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Description: 基于密度的聚类算法 JAVA实现 能发现任何形状的聚类-JAVA-based density clustering algorithm can be found in any shape to achieve the clustering
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Size: 2048 |
Author: 龙君 |
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Description: Java DBSCAN clustering algorithm source code
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Size: 7168 |
Author: tran thang |
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Description: dbscan in java
cara melakukan clluster db scan dengan java
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Size: 3072 |
Author: afif suaidi |
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Description: dbscan算法的Java 实现，源代码
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Size: 2048 |
Author: xuhong10086 |
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Description: DBSCAN算法的Java实现 DBSCAN是一种基于密度的聚类算法，它的根基事理就是给定两个参数，ξ和minp，其中 ξ可以理解为半径，算法将在这个半径内查找样本，minp是一个以ξ为半径查找到的样本个数n的限制前提，只要n>=minp，查找到的样本点就是焦灯揭捉
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Size: 1024 |
Author: 张强 |
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Description: 基于相对密度的聚类算法（DBSCAN算法），用于处理高密度簇完全被相连的低密度簇所包含的问题-Clustering algorithm based on relative density (DBSCAN algorithm), to handle high-density clusters are completely connected to the problem of low-density cluster contains
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Size: 3072 |
Author: MAHY |
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Description: 聚类算法之DBScan(Java实现),以供此算法的初步认识！-Clustering algorithm DBSCAN (Java implementation), for an initial understanding of this algorithm!
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Size: 1024 |
Author: 毛国庆 |
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