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JAVA 本程序所实现的功能为对数据进行无监督的学习，即聚类算法-JAVA the procedures for the functions of data unsupervised learning, clustering algorithm
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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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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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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源代码 最全最新的 数据挖掘用机器学习实现。包含聚类 分类 关联规则 离群点监测。java平台-weka most up-to-date source of data mining using machine learning to achieve. Clustering association rules classification contains outliers monitoring. java platform
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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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用java实现Kmeans，记录质心变化，并以与质心方差来衡量聚类的效果。代码详尽完整，并附上数据，可运行。-With java Kmeans, record changes in the centroid, and to measure the effect of clustering with the centroid variance. Comprehensive code, along with the data, you can run.
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数据挖掘经典算法实现。使用这个算法分别对图片和DBLP上面学者的合作关系图进行了聚类，然后评估聚类的结果。算法实现用的java，DBLP的数据的搜集和预处理是用Python编写。-Classical data mining algorithm. Using this algorithm, respectively, pictures and cooperation between scholars DBLP above graph clustering, and then evaluate th
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利用java实现了k-means聚类，数据集是由Math.random函数产生的。-K-means clustering was achieved with Java.The data set was created by Math.random.
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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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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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