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硕士课程模式识别大作业 聚类程序源码的开发 isodata算法 边缘提取等 可直接使用。
-Job clustering program source development isodata of Master of pattern recognition algorithm for edge detection can be used directly.
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isodata算法是一种常用的聚类算法,在Envi软件中分类可用到,该文档是isodata算法的设计思路与算法设计,引用百度文库。-isodata algorithm is a popular clustering algorithm, classification Envi software available to the document isodata algorithm design ideas and algorithm design, and reference Baidu lib
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K均值算法是一种常用的聚类算法,在Envi软件中分类可用到,该文档是isodata算法的设计思路与算法设计,引用百度文库。-k-means algorithm is a popular clustering algorithm, classification Envi software available to the document isodata algorithm design ideas and algorithm design, and reference Baidu library
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讲解了分层次聚类法、最简单聚类法、最大距离样本、K平均聚类法、叠代自组织聚类法、ISODATA法的改进等-Explain the hierarchical clustering method, the simplest clustering method, the maximum distance the sample, K mean clustering method, self-organizing clustering iterative method, ISODATA method of
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聚类算法,包括ISOdata以及K-Means。在实验报告中详细分析了一下实验的结果-Clustering algorithms, including ISOdata and K-Means. In a detailed analysis of the experimental report about the results of the experiment
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此程序为ISODATA聚类算法的改进,主要是优化了其初始化,其初始化为两类,一类质心为极值最大点,另一类质心为离该质心最远的质心-This procedure is a clustering algorithm for the ISODATA , The original method is improved by the initialization . let a maximum point
as the center of the first class,and let the c
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用MATLAB实现动态聚类或迭代自组织数据分析,ICA(主分量分析)算法和程序,解耦,恢复原信号,包含位置式PID算法、积分分离式PID,是本科毕设的题目,相参脉冲串复调制信号,isodata 迭代自组织的数据分析。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, ICA (Principal Component Analysis) algorithm and procedures, Dec
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采用累计贡献率的方法,匹配追踪和正交匹配追踪,加入重复控制,isodata 迭代自组织的数据分析,多姿态,多角度,有不同光照,基于kaiser窗的双谱线插值FFT谐波分析,一种流形学习算法(很好用),基于欧几里得距离的聚类分析。- The method of cumulative contribution rate Matching Pursuit and orthogonal matching pursuit, Join repetitive control, Isodata iterativ
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可以广泛的应用于数据预测及数据分析,isodata 迭代自组织的数据分析,是一种双隐层反向传播神经网络,有循环检测,周期性检测,可实现对二维数据的聚类,利用贝叶斯原理估计混合logit模型的参数。- Can be widely used in data analysis and forecast data, Isodata iterative self-organizing data analysis, Is a two hidden layer back propagation neural
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用MATLAB实现动态聚类或迭代自组织数据分析,isodata 迭代自组织的数据分析,matlab程序运行时导入数据文件作为输入参数。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Isodata iterative self-organizing data analysis, Import data files as input parameters matlab program is
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isodata 迭代自组织的数据分析,基于K均值的PSO聚类算法,是一种双隐层反向传播神经网络。- Isodata iterative self-organizing data analysis, K-means clustering algorithm based on the PSO, Is a two hidden layer back propagation neural network.
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主要是基于mtlab的程序,isodata 迭代自组织的数据分析,可实现对二维数据的聚类。- Mainly based on the mtlab procedures, Isodata iterative self-organizing data analysis, Can realize the two-dimensional data clustering.
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用MATLAB实现动态聚类或迭代自组织数据分析,isodata 迭代自组织的数据分析,这是第二能量熵的matlab代码。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Isodata iterative self-organizing data analysis, This is the second energy entropy matlab code.
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isodata 迭代自组织的数据分析,混沌的判断指标Lyapunov指数计算,用MATLAB实现动态聚类或迭代自组织数据分析。- Isodata iterative self-organizing data analysis, Chaos indicator for Lyapunov index calculation, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
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isodata 迭代自组织的数据分析,可实现对二维数据的聚类,IDW距离反比加权方法。- Isodata iterative self-organizing data analysis, Can realize the two-dimensional data clustering, IDW inverse distance weighting method.
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用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,用MATLAB实现动态聚类或迭代自组织数据分析,isodata 迭代自组织的数据分析。- Monte Carlo simulation method of calculating the American option price and basic descr iption, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Isodata
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isodata 迭代自组织的数据分析,分数阶傅里叶变换计算方面,可实现对二维数据的聚类。- Isodata iterative self-organizing data analysis, Fractional Fourier transform computing, Can realize the two-dimensional data clustering.
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isodata 迭代自组织的数据分析,可实现对二维数据的聚类,关于神经网络控制。- Isodata iterative self-organizing data analysis, Can realize the two-dimensional data clustering, On neural network control.
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对HARQ系统的吞吐量分析,isodata 迭代自组织的数据分析,可实现对二维数据的聚类。- HARQ throughput analysis of the system, Isodata iterative self-organizing data analysis, Can realize the two-dimensional data clustering.
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Pattern Recognition bayes discriminant analysis algorithm, Isodata iterative self-organizing data analysis, Clustering analysis based on Euclidean distance.
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