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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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about data mining clustering
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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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数据聚类 (英语 : Cluster analysis) 是对于静态数据分析的一门技术,在许多领域受到广泛应用,包括机器学习,数据挖掘,模式识别,图像分析以及生物信息。聚类是把相似的对象通过静态分类的方法分成不同的组别或者更多的子集(subset),这样让在同一个子集中的成员对象都有相似的一些属性,常见的包括在坐标系中更加短的空间距离等。-Data Clustering (English: Cluster analysis) for a static data analysis techniqu
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数据挖掘中聚类算法的K_均值算法,采用文件输入数据形式,找到相关聚类-Data mining clustering algorithm K_ means algorithm, using the form input data file, find the relevant clustering
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数据挖据的聚类代码值得你去一看 不看你就会后悔的 我擦有没有20-According to data mining clustering code worth a Kan Bukan you go you' ll regret it, I rub there 20
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R语言聚类算法,数据挖掘,可以直接运行!!欢迎下载-R language clustering algorithm, data mining, can be directly run!!!!!Welcome to download
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Data mining is the process of extracting potentially useful information from a data set. Clustering is a popular data mining technique which is intended to help the user discover and understand the structure or grouping of the data in the set accord
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