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Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clusteri
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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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Weka，一个数据挖掘工具。功能包括：分类、聚类和关联规则等等。这是该开源软件的源代码，版本为3.5.7,Weka, a data mining tool. Features include: classification, clustering and association rules, etc.. This is the open source software source code, version 3.5.7
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数据挖掘算法源代码 k-means聚类算法的C#代码-Source code data mining algorithms k-means clustering algorithm C# code
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基于信息熵的蚁群聚类JAVA实现。包含测试数据。-Ant Colony Clustering JAVA based on information entropy. Contains the test data.
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基本的数据聚类算法，可以进行快速有效的数据聚类，可以有效地进行数据挖掘-Basic data clustering algorithm, can be fast and effective data clustering, data mining can be effectively
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Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering
techniques that are frequently used in data mining have been developed in machine learning
research community. Frequent pattern and asso
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weka全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一个公开的数据挖掘工作平台，集合了大量能承担数据挖掘任务的机器学习算法，包括对数据进行预处理，分类，回归、聚类、关联规则以及在新的交互式界面上的可视化-full name is weka intelligent analysis environment Waikato (Waikato Environment for Knowledge Analysis), is an o
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数据挖掘，多种聚类算法.FCM, HCM, SVM, 等各种柔性聚类方法。-Data mining, a variety of clustering algorithms. FCM, HCM, SVM, such as flexible clustering method.
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数据挖掘相关算法集合，有聚类、神经网络、遗传算法等的代码实现-Data mining correlation algorithm collection has clustering, neural networks, genetic algorithms, such as the code implementation
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蚁群聚类的java源码ant colony clustering by java-ant colony clustering by java
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数据挖掘 统计学习 分类聚类离散点分布插件小程序-Statistical learning data mining classification clustering distribution of discrete points applet plug-ins
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Weka是一个超强功能的machine learning开发包-Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, clas
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Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.
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数据挖掘中的K-均值聚类算法，java语言实现。
可直接编译运行-Data Mining K-means clustering algorithm, java language.
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k-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
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使用java实现了基于凝聚的聚合簇类算法，可直接运行，数据输出可导入导出-Use java class implements cluster aggregation algorithm based on aggregated, can be directly run, the data output can import and export
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数据挖掘聚类算法java代码。包含LDBSCAN算法源码。-Data mining clustering algorithm java code. It contains LDBSCAN algorithm source code.
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数据挖掘聚类算法java代码。包含Kmeans算法源码。-Data mining clustering algorithm java code. Kmeans algorithm source code included.
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k-means和k-mediods的JAVA实现。直接读取文档数据，适用于二维数据。-k-means and k-Medoids clustering algorithm JAVA implementation. Document data read directly,suitable for two-dimensional data.
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