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空间数据分析中最常用的是聚类分析，基于bayes的统计分析识别，一种特征分类方法-Spatial data analysis is the most commonly used cluster analysis, based on the Bayes statistical analysis of recognition, a feature classification method
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用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割--For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition
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模糊聚类分析程序，用于对各种数据进行分类-Fuzzy clustering analysis procedures for a variety of data classification
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Hadoop文本分类算法研究，实现了hadoop集群来对文本进行分类，其中主要算法为朴素贝叶斯分类算法。-Hadoop text classification algorithm to achieve a Hadoop cluster for text classification, feature extraction, weight calculation
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根据簇数组中的某一元素，对簇数组中的数据进行分类-According to some element in the array of clusters, cluster array of data classification
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实验示例是基于语音中的mfcc，语音倒谱特征来进行聚类，先利用训练样本来计算训练样本聚类中心（用到了lbg算法），之后再进行分类。
注意：使用代码时需要自己更改文件路径。(This example is based on the MFCC in speech and the feature of speech Cepstrum to cluster. First, the training sample is used to calculate the training sample clus
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