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k-means聚类算法的java代码实现,良好的代码风格,适合扩充-k-means clustering algorithm to achieve the java code, the code of good style, suitable for expansion
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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。
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JAVA实现文本聚类,用到TF/IDF权重,用余弦夹角计算文本相似度,用k-means进行数据聚类等数学和统计 知识。,JAVA realization of text clustering, using TF/IDF weight, calculated using cosine angle between the text of similarity, using k-means clustering for data such as mathematical and statistical
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用JAVA语言实现的经典聚类算法k-means,聚类与分类不同,它是无监督的过程,,JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
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用java实现的k means算法,搞过数据挖掘的人应该都知道的~-k means algorithm implement in java, the basic method of clustering in data mining
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java写的模糊c均值聚类算法和k均值聚类算法-fuzzy c means clustering algorithm and K means cluster in java
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java的k-means聚类算法实现,使用了2维的聚类算法,在数据统计以及图像识别方面不错-java of the k-means clustering algorithm
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改进的k-means方法,对聚类的实例节能型加权 少数类多数类的函数-Improved k-means method for clustering a small number of examples of energy-saving type of weighted majority of types of function
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it is java code for k means clustering algorithm
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k-means聚类算法的java代码实现-k-means clustering algorithm java code
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This code is K-means clustering code written in java.
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k means clustering algorithm
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K means clustering of data implemented for all kinds of data-K means clustering of data implemented for all kinds of data...
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k-means聚类算法的描述及java实现-k-means clustering algorithm to achieve the descr iption and the java
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k-means算法的java描述,用java语言编写的k-means算法,用于聚类和分类-K-means algorithm java is described, using java language k-means algorithm, for clustering and classification
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用k-means算法进行聚类分析(java)。已运行成功。-By k-means clustering analysis algorithm(java). Has been running successfully.
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k-means算法的java实现,自动聚类算法。是基于距离来进行聚类-k-means algorithm to achieve the java automatic clustering algorithm. Based on the distance to the cluster
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k means clustering algorithm implementation in Java
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K Means clustering with multiple attributes taken differently
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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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