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describes selforganizing feature maps which describes the clustering and compression
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applied k means clustering for vector quanta and
used huffman for image compression matlab code
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ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
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粒子对算法在图像压缩中的应用,粒子对，K-means，聚类。-Particle algorithm in image compression applications, particle, K-means, clustering.
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1.基于概率神经网络的手写体数字识别
2.径向基网络预测地下水位
3.BP神经网络实现图像压缩
4.Elman网络预测上证股市开盘价
5.基于自组织特征映射网络的亚洲足球水平聚类-1. Identify 2. RBF neural network forecasting of groundwater 3.BP neural network image compression 4.Elman network forecasting the stock market opened o
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仿真图是速度、距离、幅度三维图像，阵列信号处理的高分辨率估计，鲁棒性好，性能优越，线性调频脉冲压缩的Matlab程序,可实现对二维数据的聚类，用于建立主成分分析模型，使用混沌与分形分析的例程，脉冲响应的相关分析算法并检验。- FIG simulation speed, distance, amplitude three-dimensional image, High-resolution array signal processing estimates, Robustness, superio
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粒子群算法是一种新的模仿鸟类群体行为的智能优化算法，在函数优化、图像压缩和基因聚类中的应用。-Particle Swarm is a new group of birds to imitate the behavior of intelligent optimization algorithm, function optimization, image compression and gene clustering applications.
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包括最后计算压缩图像的峰值信噪比和压缩效果的源码,用MATLAB实现动态聚类或迭代自组织数据分析，时间序列数据分析中的梅林变换工具。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Using MATLAB dynamic clustering or iterative self-organizing data an
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使用AP聚类算法对于8种典型的二维图像进行聚类，并对三维图像压缩后进行聚类-Use AP clustering algorithm for eight kinds of typical two-dimensional image clustering and cluster after a three-dimensional image compression
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使用Dual聚类算法对于8种典型的二维图像进行聚类，并对三维图像压缩后进行聚类-Use Dual clustering algorithm for eight kinds of typical two-dimensional image clustering and cluster after a three-dimensional image compression
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使用MeanShift算法对8种典型的二维图像进行聚类效果分析，并对三维图像进行压缩后进行聚类-Use MeanShift clustering algorithm for eight kinds of typical two-dimensional image clustering and cluster after a three-dimensional image compression
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使用两种最小生成树的方法进行聚类，并对效果进行比较，处理了8种典型二维图像和压缩后的三维图像-Use MST clustering algorithm for eight kinds of typical two-dimensional image clustering and cluster after a three-dimensional image compression
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包括最后计算压缩图像的峰值信噪比和压缩效果的源码,数学方法是部分子空间法，可实现对二维数据的聚类。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Mathematics is part of the subspace, Can realize the two-dimensional data clustering.
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可实现对二维数据的聚类，有详细的注释，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Can realize the two-dimensional data clustering, There are detailed notes, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.
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阐述了负荷预测的应用研究,包括最后计算压缩图像的峰值信噪比和压缩效果的源码,基于K均值的PSO聚类算法。- It describes the application of load forecasting, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, K-means clustering algorithm bas
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matlab程序运行时导入数据文件作为输入参数，包括最后计算压缩图像的峰值信噪比和压缩效果的源码,可实现对二维数据的聚类。- Import data files as input parameters matlab program is running, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Can real
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包括最后计算压缩图像的峰值信噪比和压缩效果的源码,利用自然梯度算法，基于K均值的PSO聚类算法。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Use of natural gradient algorithm, K-means clustering algorithm based on the PSO.
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可实现对二维数据的聚类，采用热核构造权重，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Can realize the two-dimensional data clustering, Thermonuclear using weighting factors Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.
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图像的光流法计算的matlab程序,包括最后计算压缩图像的峰值信噪比和压缩效果的源码,可实现对二维数据的聚类。- Image optical flow calculation matlab program, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Can realize the two-dimensional
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连续相位调制信号(CPM)产生，用MATLAB实现动态聚类或迭代自组织数据分析，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Continuous phase modulation signal (CPM) to produce, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including the final calculation of the compressed imag
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