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数据挖掘领域中聚类分析的相关的PPT以及一个聚类算法介绍-field of data mining cluster analysis of the PPT, and a clustering algorithm introduced
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:<<数据挖掘--实用机器学习技术及java实现>>一书的配套源程序,结合数据挖掘和机器学习的知识,以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等-: lt; Lt; Data Mining -- Practical Machine Learning Technology and java achieve gt; Gt; A ma
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数据挖掘中k-means聚类算法的实现源代码-clustering algorithm source code in data mining
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数据挖掘中的聚合层次聚类算法,有完整的注释-Data Mining syndication hierarchical clustering algorithm, a complete Notes
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模糊聚类分析算法fuzzy_k_means,主要用于数据挖掘领域.-fuzzy clustering algorithm fuzzy_k_means, mainly for data mining areas.
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主要是数据挖掘中的文本挖掘算法及其分析,其中包括层次聚类,空间向量模型等,处理对象有对于网页的也有针对纯文本的。,Mainly in data mining and analysis of text mining algorithms, including hierarchical clustering, vector space model to deal with subjects of the pages are for plain text.
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数据挖掘中 K中心点算法 测试数据为iris 数据库采用sql server 聚类算法,Data mining algorithms in test data for the K center iris database using sql server clustering algorithm
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数据挖掘k-means算法实现,数据随机生成,维数和聚类数据量自己设置。,Data Mining k-means algorithm, randomly generated data, clustering data dimension and the volume of their own settings.
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数据挖掘的一个clustering方法,主要是k-meas算法,帮助理解clustering-an algorithm of clustering in data mining
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基于Kmeans算法的图像分割,一般Kmeans是数据挖掘中用来聚类的,本试验利用图像中的灰度值作为Kmeans算法的原始点,进行图像分割-Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for
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数据挖掘中动态聚类的K-means算法,适合研究聚类人员。-Data Mining in the dynamic clustering of K-means algorithm for clustering research staff.
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数据挖掘中的经典聚类算法,常用于异常值检测-Data Mining in a classic clustering algorithm, commonly used in the outlier detection
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Java 编写的多种数据挖掘算法 包括聚类、分类、预处理等-Java to prepare a variety of data mining algorithms, including clustering, classification, preprocessing, etc.
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a documentation describes clustering data mining, Survey of Clustering Data Mining Techniques from Pavel Berkhin
Accrue Software, Inc.
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实现了K均值算法,可以对movielens上的数据进行自动分类,给出推荐值,是数据挖掘中的信息推介必要的算法工具。可以直接对movelens的数据进行聚类-Implementation of the K-means algorithm, can movielens on automatic classification of data, recommend give the value of data mining are to promote the necessary information
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clustering data for the different techniques of data mining
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k-means(欧氏距离)聚类算法是最基本的聚类算法,是理解和应用聚类算法的基础,通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, throu
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模糊分类是目前比较流行的用于数据挖掘的分类算法,而Fanny是其中一种基于FCM算法,用于实现模糊分类的应用程序-Fuzzy clustering is a popular method for data clustering and classification in data mining, Fanny program realizes one of FCM algorithms, to achieve the application of fuzzy clustering
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通过对聚类分析及其算法的论述,从多个方面对这些算法性能进行比较,同时以儿童生长发育时期的数据为例通过聚类分析的软件和改进的K-means算法来进一步阐述聚类分析在数据挖掘中的实践应用。-Through cluster analysis and discussion of algorithms, from a number of aspects of the performance of these algorithms compared to growth and development of
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利用数据挖掘知识和c实现K-均值聚类分析-The use of data mining knowledge and c to achieve K-means clustering analysis
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