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聚类分析是将集合中的数据按其相似性大小分成不同类别的一种方法,它是模式
识别中多变量无监督学习的一个分支,己成功地用于医学,地质,财务,工程,图像
处理和文档等的数据分类中;含有实现此算法的源码
-cluster analysis is to pool the data according to similar size into a different category, It is pattern recognition multivariable Unsupervised Le
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一个小型的数据挖掘器应用软件,综合数据挖掘的各种功能,包括关联分析模块、分类模块、聚类分析模块-a small application for data mining software, integrated data mining of various functions, including relational analysis module, Classification Module, cluster analysis module
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采用ASP+ACCESS+ASPUPJPG组件构成,自动生成缩图,具有专题组管理功能,可以按照片分类(风景,人物,等),同时也可以按专题组分类-ASP ACCESS ASPUPJPG constitute components, automatic thumbnail generation, with cluster management functions, we can follow the film classification (landscapes, figures, etc.), b
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聚类分析 算法的Matlab实现,可以对多参数的数据实现简单方面的分类,从而更好地了解数据结构。,Matlab cluster analysis algorithm to achieve, you can multi-parameter data for the realization of a simple classification, in order to better understand the data structure.
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Mobile video surveillance represents a new paradigm that
encompasses, on the one side, ubiquitous video acquisition and,
on the other side, ubiquitous video processing and viewing,
addressing both computer-based and human-based surveillance.
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基于K-means聚类算法的社团发现方法
先定义了网络中节点关联度,并构建了节点关联度矩阵, 在此基础上给出了一种基于 K-means聚类算法的复杂网络社团发现方法。
以最小关联度原则选取新的聚类中心, 以最大关联度原则进行模式归类,直到所有的节点都划分完为止, 最后根据模块度来确定理想的社团数-K-means clustering algorithm based on the association discovery
To define a network node cor
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模式识别的源码:包含了分类与聚类两部分,希望能对大家有所帮助-Pattern Recognition Source: Classification and cluster contains two parts, hoping to help all of you
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一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能,包括主题分类(Top Classification)、命名实体识别(Named Entity Recognition)、词性标注(Part-of Speech Tagging)、句题检测(Sentence Detection)、查询拼写检查(Query Spell Checking)、兴趣短语检测(Interseting Phrase Detection)、聚类(Clustering)、字符语言建模(Character
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本程序实现模糊数学中聚类分析算法,该算法通过递归来实现分类。-This procedure in the realization of fuzzy cluster analysis algorithm to achieve through the recursive classification.
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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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这里和大家分享的几种基础的分类方法,其中包括判别聚类分析、人工神经网络、主成分分析等-Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis
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模糊聚类分析的matlab程序,先将原矩阵标准化,再标定并生成模糊相似矩阵,最后生成动态分类图。-Matlab fuzzy clustering analysis program, the first of the original matrix standardized, re-calibration and generate fuzzy similarity matrix, and finally generate dynamic classification map.
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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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Timbre is described as the tone color of a sound which helps to distinguish between different sounds.For a single musical instrument sound the timbre can be classified into different categories using K-means cluster analysis.
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分类算法中k均值分类算法,可以用于简单的模式识别中去。-Classification algorithm of k-means classification algorithm, which can be used in a simple pattern recognition.
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k-means算法是一种动态聚类算法,基本原理如下[24]:首先预先定义分类数k,并随机或按一定的原则选取k个样品作为初始聚类中心;然后按照就近的原则将其余的样品进行归类,得出一个初始的分类方案,并计算各类别的均值来更新聚类中心;再根据新的聚类中心对样品进行重新分类,反复循环此过程,直到聚类中心收敛为止。-K- means algorithm is a dynamic clustering algorithm, the basic principle of [24] as follows: fi
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VC++写的图像聚类程序包含遗传算法,聚类分析,模糊聚类,很好用的,可以-VC++ written program contains an image clustering algorithm, cluster analysis, fuzzy clustering, well used, can look
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聚类算法,包括特征提取 归一化,还有线性和非线性分类器,matlab下调试成功案例-clustering classification algorithm ,it include linear and nonlinear classifier and data preprocessing
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使用本章学习的K-平均算法,以颜色分量(或几何性状)作为坐标参数,对景象图进行聚类分析,要求最后的分类结果将路标(可能包括少量相似区域)聚类为一个模式类别。要求给出样本模式点,绘制坐标图(标出各个聚类中心的迭代移动轨迹),绘制算法框图,给出结论。并检查上机结果。-Use this learn K - average algorithm to color components (or geometric characters) as coordinate parameters, clusteri
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对数据的一种聚类归类算法,内容理解较为简单(A clustering classification algorithm for data, content understanding is relatively simple)
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