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数据挖掘中的聚类算法,vc++实现,图形界面显示,直观清楚,很好,推荐下栽-data mining clustering algorithm, vc realization of a graphical interface, intuitive clear, very good, recommended crashed
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两个som聚类算法,可以用于图象处理,数据挖掘,运行感觉不错,推荐!值得收藏!-two som clustering algorithm can be used in image processing, data mining, running good feeling recommended! Worth collecting!
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数据挖掘k-means算法实现,数据随机生成,维数和聚类数据量自己设置。,Data Mining k-means algorithm, randomly generated data, clustering data dimension and the volume of their own settings.
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基于Kmeans算法的图像分割,一般Kmeans是数据挖掘中用来聚类的,本试验利用图像中的灰度值作为Kmeans算法的原始点,进行图像分割-Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for
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一种非常实用的C均值聚类算法,可以用于数据挖掘、图像分割等领域-A very useful C-means clustering algorithm can be used for data mining, image segmentation and other areas of
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本程序可以实现图像k均值聚类在数据挖掘中的相关算法。计算出图像的直方图-This program can image k means clustering in data mining correlation algorithm. Calculate the histogram
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包括K-均值聚类算法的思想介绍,kmeans的MATLAB代码,c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
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数据挖掘 图像聚类处理
最终结果是每个簇生成一张图片-Image clustering data mining process to generate the final result is a picture of each cluster
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k_means聚类算法 实现图像分割 数据挖掘-k_means clustering algorithm to achieve image segmentation data mining
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一种新的改进的聚类方法,在数据挖掘领域是个创新,值得学习-A new improved clustering method in the field of data mining is innovative, it is worth learning
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Davies Bouldin index戴维森堡丁指数做数据挖掘的时候,经常你不知道要做多少个Cluster,那么你就需要先按照大体构想来分那么几种测试性聚类,通过计算这个指数,来确定到底哪个Cluster最合理。当然,算法并没有十全十美的,你只能说是理论上合理了,实际这个指数能给别人多大帮助我自己真的也不得而知。-Davies Bouldin index 戴维森堡丁 index for data mining, often you do not know how many Cluster, t
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聚类分析是数据挖掘研究领域中一个非常活跃的研究课题) 本文重点分析了高维度数据的自动子空间聚类算法-Cluster analysis is a data mining research area in a very active research topic) This paper focuses on automatic subspace clustering algorithm for high dimensional data
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