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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-Form1.cs is the application of clustering algorithm DBSCAN (Dens
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Kmeans for data mining, clustering
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聚类是数据挖掘中重要的研究课题。文章介绍了聚类，讨论了聚类分析中的数据类型及其相异度，概括了数据
挖掘中常用的聚类方法。最后，提出了聚类研究中今后的若干发展趋势。-Clustering is an important data mining research. In this paper, clustering, cluster analysis discussed in the different data types and their degrees, a summary of com
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很详细的数据挖掘聚类算法源代码，供大家学习，很有用-Very detailed data mining clustering algorithm source code for all to learn, very useful
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这是用C++编写的数据挖掘的聚类算法。算法中使用了链表结构做为存储数据的容器。-It is written in C++, data mining clustering algorithm. Algorithm is used to store data as a linked list structure of the container.
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BIRCH算法c语言实现，数据挖掘，数据聚类分析-BIRCH algorithm c language, data mining, clustering analysis
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这是对数据挖掘的聚类程序，是对一个大的集合进行聚类，本程序应用了多种聚类算法-This is a data mining clustering procedure is a collection of a large cluster, the procedure applied a variety of clustering algorithms
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hallenge to the use of supervised neural networks in data mining applications
is to get explicit knowledge from these models. For this purpose, a clustering genetic algorithm
for rule extraction from artiÞ cial neural networks is developed. T
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：随着数据信息的积累，如何从这些海量信息中有效地提取所需要的知识成为当前数据挖掘的重要内容。聚类作为数据挖掘的重要工具，通过将数据划分成多个类，使得类内数据尽可能相似，而类间数据的相似度尽可能小，已成为研究热点。本文总结在数据挖掘中的聚类算法，针对聚类中所存在的问题-: With the accumulation of data, and how information from these massive effectively extract the knowledge needed to
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数据挖掘聚类算法中，K-means的matlab实现-Data mining clustering algorithm, K-means the matlab implementation
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数据挖掘聚类算法，kmeans，HC，PCA， SOMs-Data mining clustering algorithm, kmeans, HC, PCA, SOMs
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对数据挖掘中的聚类算法cure算法以ppt的形式进行了详细介绍，-Data mining clustering algorithm cure algorithm ppt form described in detail,
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数据挖掘中聚类算发中基于密度的算法DBSCAN-Hair count data mining clustering algorithm DBSCAN density-based
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数据挖掘的外文资料，EI检索的，很难找到-Foreign materials data mining, EI retrieval, it is difficult to find
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数据挖掘聚类算法的其中一种，PAM算法是划分聚类的其中一种方法。-Data mining clustering algorithm one, PAM clustering algorithm is divided into one of the methods.
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k-means算法实现，数据挖掘中经常用到的聚类分析算法。是最经典的常用算法。-k-means algorithm, cluster analysis algorithm often used in data mining. Is the most classic of common algorithms.
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Clustering i one of the big important thing in data mining,we can do the best Clustering by using population-based algorithms such as imperialism competition Optimization
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kmeans算法，是数据挖掘聚类的重要的思想-kmeans algorithms, data mining clustering thought
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数据挖掘中利用VC++语言实现的聚类算法程序-The use of data mining clustering algorithm VC++ language program
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主要用于实现数据挖掘中聚类算法中的一个经典算法，目的是将一组树按照就近原则分成k组-Mainly used for data mining clustering algorithm, a classical algorithm, the purpose is to set the tree into k groups according to the principle of proximity
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