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CURE: AN EFFICIENT CLUSTERING ALGORITHM FOR LARGE DATABASES-CURE: AN EFFICIENT CLUSTERING ALGORITHM FOR LARGE DATABASES
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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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这是K-neans动态聚类算法的源程序，是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
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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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文档分类，用K均值，加入了K的选择算法，不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
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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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K-means聚类算法的java实现。一个类，可以直接调用。-K-means clustering algorithm implemented by java.you can use it directly in your coad.
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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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DBScan算法实现，用Java高级编程语言正确实现DBSCAN算法，DBScan是一种基于密度的聚类算法，它有一个核心点的概念：如果一个点，在距它e的范围内有不少于MinP个点，则该点就是核心点。核心和它e范围内的邻居形成一个簇。在一个簇内如果出现多个点都是核心点，则以这些核心点为中心的簇要合并。最终输出找到的簇及其数据点。-DBScan algorithm, using high-level programming language Java is implemented correctly
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KMeans聚类算法的Java实现 KMeans聚类算法的Java实现-KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java
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这是数据挖掘中的k均值聚类算法，用java语言编写的，对于搞聚类的人士很有帮助-This is the data mining k-means clustering algorithm, using java language, for persons engaged in clustering helpful
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使用Java语言实现了简单的K-Means聚类算法(A simple K-Means clustering algorithm is implemented in Java language.)
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