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Description: 著名的基因芯片表达数据聚类软件。esein编写-famous expression of the gene chip data clustering software. Esein prepared
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Author: 董骝焕 |
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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: 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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Author: 陈妍 |
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Description: 用VC++语言实现了基于距离,基于密度和改进的数据聚类算法。-VC language based on the distance, based on the density and improved data clustering algorithm.
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Size: 73728 |
Author: lixiaoqing |
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Description: 一个用C语言实现的基于cure的数据聚类源代码。-a C language based on the data clustering cure source code.
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Size: 43008 |
Author: lixiaoqing |
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Description: This paper studies the problem of categorical data clustering,
especially for transactional data characterized by high
dimensionality and large volume. Starting from a heuristic method
of increasing the height-to-width ratio of the cluster histogram, we
develop a novel algorithm – CLOPE, which is very fast and
scalable, while being quite effective. We demonstrate the
performance of our algorithm on two real world-This paper studies the problem of categori cal data clustering. especially for transactional data characteri propellant by high dimensionality and large volume. St. arting from a heuristic method of increasing th e height-to-width ratio of the cluster histogr am, we develop a novel algorithm-CLOPE. which is very fast and scalable, while being quite effective. We demonstrate th e performance of our algorithm on two real world
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Size: 108544 |
Author: hanzhang |
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Description: 聚类的测试数据集,matlab打开,3个cluster,1W个测试点,2维。-clustering test data sets, Matlab open, 3 cluster, 1W tests, the two-dimensional.
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Size: 70656 |
Author: adrian |
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Description: meanshift聚类,找到聚类中心,以及数据的类别-Clustering meanshift to find cluster centers, as well as the type of data
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Size: 4096 |
Author: 李莉 |
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Description: 几种数据挖掘中聚类的几种算法介绍:rock,sprint,birch(英文版的)-Several data mining Clustering Algorithms Introduction: rock, sprint, birch (English)
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Size: 2589696 |
Author: 古月 |
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Description: c-mean聚类算法源代码,通过对输入数据进行训练和分类类别设定,能够得到数据的聚类图。-c-mean clustering algorithm source code, through the input data for training and classification of types of settings can be data clustering Fig.
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Size: 2048 |
Author: 张红 |
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Description: som 神经网络 分类小例 (将八组4维数据聚类)-som neural network classifier in small cases (eight groups will be 4-dimensional data clustering)
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Size: 1024 |
Author: 姜波 |
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Description: 数据挖掘算法。K-Means聚类数据挖掘算法。该算法是用Java语言编写的。-Data mining algorithms. K-Means clustering algorithm for data mining. The algorithm is a Java language.
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Size: 41984 |
Author: 张志娟 |
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Description: Birch算法的c代码,做数据聚类-Birch algorithm c code to do data clustering
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Size: 257024 |
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Description: 软件学报 2008年论文《聚类算法研究》,作者孙吉贵, 刘杰, 赵连宇。pdf格式,14页。对近年来聚类算法的研究现状与新进展进行归纳总结.一方面对近年来提出的较有代表性的聚类算法,从算法思想、关键技术和优缺点等方面进行分析概括 另一方面选择一些典型的聚类算法和一些知名的数据集,主要从正确率和运行效率两个方面进行模拟实验,并分别就同一种聚类算法、不同的数据集以及同一个数据集、不同的聚类算法的聚类情况进行对比分析.最后通过综合上述两方面信息给出聚类分析的研究热点、难点、不足和有待解决的一些问题.上述工作将为聚类分析和数据挖掘等研究提供有益的参考.
-The research actuality and new progress in clustering algorithm in recent years are summarized in this
paper. First, the analysis and induction of some representative clustering algorithms have been made from several
aspects, such as the ideas of algorithm, key technology, advantage and disadvantage. On the other hand, several
typical clustering algorithms and known data sets are selected, simulation experiments are implemented from both
sides of accuracy and running efficiency, and clustering condition of one algorithm with different data sets is analyzed by comparing with the same clustering of the data set under different algorithms. Finally, the research hotspot, difficulty, shortage of the data clustering and some pending problems are addressed by the integration of the aforementioned two aspects information. The above work can give a valuable reference for data clustering and data mining.
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Size: 470016 |
Author: dengyue |
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Description: Data clustering using particle swarm optimization Data clustering using particle swarm optimization
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Size: 316416 |
Author: a2maridz |
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Description: Data clustering using graph cut method
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Size: 49152 |
Author: ervin |
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Description: This book was written for anyone who wants to implement data clustering algorithms and for those who want to implement new data clustering algorithms in a better way. Using object-oriented design and programming techniques, I have exploited the commonalities of all data clustering algorithms to create a flexible set of reusable classes that simplifies the implementation of any data clustering algorithm. Readers can follow me through the development of the base data clustering classes and several popular data clustering algorithms.
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Size: 3153920 |
Author: numa |
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Description: SIAM.Data Clustering.Theory.Algorithms and Applications.2007
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Size: 2187264 |
Author: YE |
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Description: 用ncut算法做的数据聚类,经过测试可以正常使用-data clustering with NCUT
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Size: 1520640 |
Author: 褚福跃 |
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Description: Data Clustering:Theory .Algorithms and Applications:介绍聚类非常全面的一本书-Data Clustering: Theory .Algorithms and Applications.It s a very comprehensive Introduction to Clustering
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Size: 24960000 |
Author: dd |
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