Description: 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, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
一个可以实现多种方法分类的软件,利用各个
对象的属性。决策树,距离、密度等-Weka is a collection of machine learning al gorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca lled from your own Java code. Weka contains tool 's for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for d eveloping new machine learning schemes. can be a real Categories are various methods of software, using all the attributes of objects. Decision Tree, distance, density, etc. Platform: |
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Author:马何坛 |
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Description: 数据挖掘算法。K-Means聚类数据挖掘算法。该算法是用Java语言编写的。-Data mining algorithms. K-Means clustering algorithm for data mining. The algorithm is a Java language. Platform: |
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Author:张志娟 |
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Description: 数据挖掘中聚类的算法,可以作为学习数学算法的时候用,也可以作为自己开发软件时使用-Clustering in data mining algorithms, mathematical algorithms can be used as learning time, and also can develop software as their own use Platform: |
Size: 125952 |
Author:乐乐 |
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Description: 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 association rule mining is one of the few excep-
tions to this tradition. The introduction of this technique boosted data mining research and its
impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting
with Apriori-like algorithm is the fi rst thing that data miners try to do. Platform: |
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Author:鱼彬彬 |
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Description: 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 open platform for data mining work, collection of a large number of data mining capable of undertaking the task of machine learning algorithms, including data pre-processing, classification, regression , clustering, association rules, as well as in the new interactive visualization interface Platform: |
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Author:朱磊 |
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Description: 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. Platform: |
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Author:闫珍 |
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Description: 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 Platform: |
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Author:低调 |
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Description: 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, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Platform: |
Size: 18667520 |
Author:Alan |
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Description: 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. Platform: |
Size: 5120 |
Author:bwindhya |
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Description: 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. Platform: |
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Author:黄紫竹 |
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Description: 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 detection, concept drift detection and recommendation system) and evaluation tools. The MOA related to the WEKA project is also written in Java, and extends to more stringent problems.) Platform: |
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Author:泥土诉说 |
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