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c45决策树改进算法，主要用于数据挖掘中的聚类分析。对从事dm研究的人应该有用-C45 Decision Tree Algorithm, mainly for data mining of cluster analysis. Dm engaged in research should be useful
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数据挖掘算法，K-means聚类算法源代码，用于聚类分析-data mining algorithms, K-means clustering algorithm source code for the cluster analysis
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数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-data mining algorithms, fuzzy-K-means clustering algorithm source code for Fuzzy Cluster Analysis
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这是一个聚类的工具箱,可以用到数据挖掘等高级应用中去.-This is a cluster box can be used as data mining application to the High.
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数据挖掘算法之一，基于代表点的CURE聚类算法，该算法先把每个数据点看成一类，然后合并距离最近的类，直至类个数为所要求的个数为止。-CURE cluster algorithm based on representive point,one of data mining algorithms,classifies each data as a category firstly, then unifies categories with the nearest distance into one
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这是一个数据挖掘PPT的详细介绍,包括分析预测，聚类分析，挖掘频繁模式、关联和相关等-PPT is a detailed descr iption of data mining, including the analysis and forecasting, cluster analysis, mining frequent patterns, association and correlation
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数据挖掘中的聚类算法简单实例，实现对数字的聚类分析，可以帮助初学者理解聚类算法-Data mining clustering algorithm simple example of the realization of the cluster analysis of the figures that can help beginners understand the clustering algorithm
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上数据挖掘课的课件，是EM算法的，其中还包括最大似然值，最大似然估计，以及cluster-data mining,EM Algorithm ,Likelihood, Mixture Models and Clustering
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这是关于数据挖掘技术中的聚类算法的一个源代码，用c++编的-tihs is about clustering algorithm of data mining field writing by c++
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java编写的数据挖掘方面的代码，里面包含有文本分类，作者身份识别方面的java源码，本人亲自参与编写-java code about data mining；include：text cluster ，authorship identification，
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数据挖掘中模糊聚类分析对医学新生计算机分层教育的应用研究.pdf-----vb的数据挖掘，别人的文章，大家共享-Fuzzy Cluster Analysis in Data Mining of Medical Education freshmen computer application layer. Pdf----- vb data mining, other people' s articles, share
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模糊聚类虽然能够对数据聚类挖掘，但是由于网络入侵特征数据维数较多，不同入侵类别间的数据差别较小，不少入侵模式不能被准确分类。本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
-Although fuzzy clustering to cluster the data mining, but the characteristics of the network intrusion data more dimensions, different invasion was l
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本文章题目是《数据挖掘中的聚类算法综述》，很适合初学者！-The article entitled " Clustering Data Mining Algorithms" , it is suitable for beginners!
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BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamic
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对应聚类分析与盲矿体的地球化学预测 为利用矿区地球化学数据进行找矿靶区预测，采用了对应的聚类分析方法-Cluster analysis and blind orebodies corresponding geochemical prediction for the use of data mining geochemical prospecting target prediction, using the corresponding cluster analysis method
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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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数据挖掘多个算法及数据，包括关联规则，基本分析、聚类分析、决策树、神经网络、统计方法等-Data mining algorithms and data, including association rules, fundamental analysis, cluster analysis, decision trees, neural networks, statistical methods
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数据挖掘的聚类算法实现
Implementation of text clustering algorithms including K-means, MBSAS, DBSCAN-data mining cluster
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机器学习和数据挖掘中常用的K-means聚类算法，包含两个文件，kmeans.py是Python实现代码，bank-data.csv是测试数据-Machine learning and data mining commonly used K-means clustering algorithm contains two files, kmeans.py is a Python implementation code, bank-data.csv test data
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cluster data using iterative scheme
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