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《精通VisualC++数字图像处理模式识别技术及工程实践》介绍了模式识别和人工智能中的一些基本理论，以及一些相关的模型，包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等，同时结合模式识别中的一些问题，比如字符识别、笔迹鉴定、人脸检测、车牌识别、印章识别以及遥感图片、医学图片处理等内容，从多种角度，介绍了解决这些问题的思路-" Proficient in VisualC++ digital image processing, pattern recognition
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图像聚类程序源码，运行正常，能实现数字图像、图形的聚类；同时，还采用了多种方法实现，有距离法，神经网络法等，值得参考-Image source clustering procedures, operating normally, to achieve digital images, graphics cluster At the same time, also adopted a number of ways to achieve, a far cry from the law, such a
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Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
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本程序实现了Matlab 基于SOFM（自组织特征映射神经元网络）颜色聚类图像分割。-This application implements the Matlab based on SOFM (self-organizing feature map neural network) color clustering image segmentation.
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基于分解的多目标离散PSO在复杂网络聚类中的应用-Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition
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The IMC - PID is using the internal model control principle for PID parameters is calculated, Clustering analysis based on Euclidean distance, The entire training process BP neural network.
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Can realize the two-dimensional data clustering, The commonly used digital signal modulation based on artificial neural network, Based on negative entropy largest independent component analysis.
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