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L-method in R statistical language. Implementation of the L-method algorithm for finding the best number of clusters in hierarchical clustering. Algorithm is described here:
Salvador, S. and Chan, P., 2004. Determining the number of clusters/seg
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基于层次聚类的算法.最初将每个对象作为一个簇，然后这些簇按照某些规则一个个合并起来-The algorithm based on the hierarchical clustering algorithm, which is used as a cluster of each object at first, then the clusters are merged according to some rules.
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本代码是关于数据挖掘的层次聚类算法的编程实例，请勿用于商业用途上-The code is the programming examples on data mining hierarchical clustering algorithm, not for commercial use
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本代码是关于数据挖掘的层次聚类算法的java编程实例，请勿用于商业用途上-The code is java programming examples on data mining hierarchical clustering algorithm, not for commercial use
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本代码是关于数据挖掘的层次聚类算法的JAVA编程实例，请勿用于商业用途上-The code is JAVA programming examples on data mining hierarchical clustering algorithm, not for commercial use
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开源搜索引擎Carrot2的层次聚类算法，由波兰学者Osinski编写。-Hierarchical clustering algorithm Carrot2 of open source search engine, prepared by the Polish scholar Osinski.
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层次聚类分析也称系统聚类法或分级聚类法，是实际工作中采用最多的方法之一-Hierarchical cluster analysis, also known as system clustering or hierarchical clustering method, is one of the most used methods in practical work.
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这段代码是层次聚类的Matlab实现代码-
This code is hierarchical clustering Matlab implementation code
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实现了两种基于粗糙集模型的层次聚类算法，采用java编程语言实现(Hierarchical clustering algorithm for categorical data using
a probabilistic rough set model)
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相似性划分，Q型聚类，是理想的多变量统计技术，主要有分层聚类法和迭代聚类法。 聚类分析也称群分析、点群分析，是研究分类的一种多元统计方法。(Similarity classification and Q clustering are ideal multivariate statistical techniques, including hierarchical clustering and iterative clustering. Cluster analysis, also known a
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