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《图像模式识别——VC++技术实现》的源码，主要分为分类与聚类两大部分，杨淑莹编写。-" Image pattern recognition- VC++ technology implementation," the source, classification and clustering is mainly divided into two major parts, the preparation of杨淑莹.
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knn分类模式识别可用于文本挖掘和其他的识别分类,vc代码,-Commission pattern recognition can be used for classification of text mining and other identification classification, vc code-knn classification text mining and pattern recognition can be used to identify the other cate
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模式分类的配套的matlab工具箱，所以的函数，-Pattern classification of matching matlab toolbox, so the function
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相似度算法的实现， 在利用支持向量机进行模式分类的时候，有时需要考虑到实时性，为了提高实时性，则利用相似度算法减少样本集个数，从而减少训练时间和支持向量的个数，使得建立起的向量机实时性提高-Similarity algorithm, in the use of support vector machines for pattern classification, sometimes need to be considered real-time, in order to improve real
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首次提出将局部二进制模式(LBP) 用到掌纹识别中。借鉴分级检索的思想，先采用Gabor滤波器提取掌纹的全局能量特
征。后采用LBP算子提取局部特征实现两次分类。-First proposed the Local Binary Pattern (LBP) used palmprint recognition. Learn classification retrieval of thought, first use Gabor filter to extract palmprint globa
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Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of
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MATLAB模式识别实现指标分类、评估、预测(如环境、业绩等-MATLAB pattern recognition to achieve target classification, evaluation, prediction (such as environmental, performance etc.
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duda 模式分类 第二章 上机练习代码（原创，不是网内流传的官方工具箱，比较全）对应课后题的题号-Pattern Classification 2nd CH2 code practice
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模式分类，课本第二章第6题判决边界的计算，ppt-Pattern classification chapter Question 6
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matlab实现了五类灰色关联度模型的计算,可以实现模式识别领域的数据的分类及回归，利用最小二乘算法实现对三维平面的拟合。- matlab implements five gray correlation degree computing model, You can achieve data classification and regression pattern recognition, Least-squares algorithm to fit a three-dimensional
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实现用SDRAM运行nios，同时用SRAM保存摄像头数据，可以实现模式识别领域的数据的分类及回归，毕设内容，高光谱图像基本处理。- Implemented with SDRAM run nios, while saving camera data SRAM, You can achieve data classification and regression pattern recognition, Complete set content, basic hyperspectral image
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可以实现模式识别领域的数据的分类及回归，包括广义互相关函数GCC时延估计，鲁棒性好，性能优越。- You can achieve data classification and regression pattern recognition, Including the generalized cross-correlation function GCC time delay estimation, Robustness, superior performance.
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cordic算法的matlab仿真，可以实现模式识别领域的数据的分类及回归，采用累计贡献率的方法。- cordic matlab simulation algorithm, You can achieve data classification and regression pattern recognition, The method of cumulative contribution rat.
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可以实现模式识别领域的数据的分类及回归，基于SVPWM的三电平逆变的matlab仿真，比较了软阈值，硬阈值及当今各种阈值计算方法。- You can achieve data classification and regression pattern recognition, Based on SVPWM three-level inverter matlab simulation, Comparison of soft threshold and hard threshold and toda
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