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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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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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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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各种聚类算法代码
都很好用的
各种聚类算法代码-Various clustering algorithms are very useful source of a variety of clustering algorithm code
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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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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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MOA Machine Learning for Streams。它包括一系列机器学习算法(分类,回归,聚类,异常值检测,概念漂移检测和推荐系统)以及评估工具。与WEKA项目相关的MOA也是用Java编写的,同时扩展到更严苛的问题。
https://moa.cms.waikato.ac.nz/(It includes a series of machine learning algorithms (classification, regression, clustering, outlier
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