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文本聚类算法源码，包含tf.idf计算的实现，采用java语言编写-text cluster algorithm, including the computation of tf.idf ,written by Java
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kmeans文本聚类算法的简单实现，是用JAVA实现的-kmeans a simple realization of the text clustering algorithm is implemented using JAVA
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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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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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this is a very good code for k means clustering. works quite fast. can download for school assignments.
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聚类算法kmeans，比较简单的聚类算法，通过欧几里德距离确定聚类的标准，对二维的点进行聚类-Clustering algorithm kmeans, relatively simple clustering algorithm, through the Euclidean distance to determine the standard clustering of the points of two-dimensional clustering
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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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k-mean image clustering source code developed using java
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This aplication is a visualizer, implementing an hierarchical clustering, using kmeans.
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this is java program which can be used for cluster the data using kmeans clustering
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文本聚类
预处理+KMeans的Java程序-Clustering preprocessing+ KMeans the Java program
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K-means算法实现文本聚类，Java实现的版本-K-means algorithm for text clustering
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用java实现的聚类算法kmeans，可以用eclipse直接运行。-Clustering algorithm implemented with java
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对文本聚类的向量空间模型机制VSM以及Kmeans等讲解比较详细，是研究文本聚类的好书籍-Clustering of text vector space model to explain the mechanism of VSM and Kmeans and other more detailed, study of text clustering is a good book
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用VC或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（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验），提交实验报告与源代码。-K-means clustering algorithm for algorithm termination conditions, with a picture (their choice) as a data set to compare the running
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Kmeans算法的java实现，能实现大数据集的Kmeans聚类算法的实现-Achieve Kmeans algorithm to achieve the java can achieve large datasets Kmeans clustering algorithm
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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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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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