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利用Java实现的K-均值算法，K-Mean 分群法是一种分割式分群方法，其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点；这些资料点可以称为群中心，代表点；然后再根据这些群中心，进行后续的处理，可用于数据挖掘中的聚类分析-Java implementation using K-means algorithm, K-Mean grouping method is a fragmented grouping method, whose main goal is to a large nu
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java实现的k-means算法，具有可视化界面，可以作为数据挖掘的作业处理。-java implementation of the k-means algorithm with a visual interface that can handle a data mining operation.
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K-means algorithm implementation using java to find the frequent itemsets
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The package aims at providing an implementation of k-means Clustering Algorithm in Java. The package does not provide for any UI and it is up to the user to display the output in the required format.
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k means cluster for clustering analysis and code implementation
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文本聚类算法包含
tfidf的实现
k-means算法的实现-Text clustering algorithm contains tfidf implementation of the k-means algorithm to achieve
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java实现的k-means算法里面的解释很详细，只要运行了就知道-java implementation of k-means algorithm is explained in great detail inside, just run the know
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Java 实现k-means 聚类算法，分别以迭代次数及分配不再发生变化为算法终止条件，用图片作为数据集，比较运行时间-Java implementation of k-means clustering algorithm, respectively, and the distribution of the number of iterations of the algorithm terminates no change in the conditions, with a picture (o
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k means clustering algorithm implementation in Java
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WawaKMeans的算法实现，用Wawa实现K-means聚类算法与MapReduce实现的算法进行对比-WawaKMeans algorithm implementation, using K-means to achieve Wawa clustering algorithm and MapReduce implementation of the algorithm to compare
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Python实现的cure聚类算法和K-means算法(python-cure-Kmeans-implementation)
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kmeans算法的java实现，搬运，大家可以参考一下(Kmeans algorithm java implementation, handling, we can refer to)
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算法思想：提取文档的TF/IDF权重，然后用余弦定理计算两个多维向量的距离来计算两篇文档的相似度，用标准的k-means算法就可以实现文本聚类。源码为java实现(Algorithm idea: extract the TF/IDF weight of the document, then calculate the distance between two multidimensional vectors by cosine theorem, calculate the similarity
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hadoop平台下的K-means算法的实现(Implementation of K-means algorithm under Hadoop platform)
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