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Fisher线性判别方法 Bayes决策的错误率的计算 分类器错误率的估算方法-Fisher linear discriminant method Bayes decision error rate calculation classifier error rate estimation method
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基于ORL人脸库的人脸识别,基于PCA降维、K邻域识别法;以及PCA降维,Fisher判别-Face recognition based on the ORL database, based on the PCA dimension K neighborhood identification method PCA dimension, Fisher discriminant
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应用Firsher线性判别器在matlab环境中实现模式识别的分类,简单直接,望采纳-Pattern recognition classification application Firsher linear discriminant in the Matlab environment is simple and direct, looking to adopt
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文本挡的firsher线性判别器是最简单的模式识别分类,在这里用了matlab进行了编程-Text the gear firsher linear discriminant is the most simple pattern recognition classification, where the Matlab programming
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Fisher线性判别是线性分类算法中最基本的一种算法,其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上,再进行分类-Linear discriminant analysis is one of the most basic algorithm for linear classification algorithm, the basic idea is to divide the sample projection D dimensional space into one of the
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从高维信号提取特征并同时降维到低维信号。为图像表示、图像分类、模式识别等进行特征提取。-local Fisher Discriminant Analysis
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分别利用fisher判别法和近邻法对一组声呐数据进行模式识别,计算分类的正确率-Respectively, and the use of fisher discriminant method nearest neighbor method sonar data to a set of pattern recognition, to calculate the correct classification rate
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自己写的一个Fisher线性判别函数,很通俗易懂的-To write a Fisher linear discriminant function
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自编的matlab KFDA程序,核费舍尔判别分析。用于TE过程的故障分类,其中包含正常数据以及故障9和故障11。包含了如何进行核训练,故障的分类等。-Directed the matlab KFDA program, nuclear Fisher discriminant analysis. TE for fault classification process, which includes normal and fault data and fault 9 11. Training inc
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J fisher discriminant for high/low classes.
Naive Bayes classifier for EEG feature selection.
- Both for evaluating high/low levels of Valence or Arousal.
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Fisher判别率,也就是数据复杂度衡量指标之F1。计算数据复杂度,数据输入和输出代码以附带。-Fisher discriminant ratio, which is a measure of the complexity of the data F1 indicators. Computing data complexity, data input and output code with.
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模式识别的经典算法,它是在1996年由Belhumeur引入模式识别和人工智能领域的。性鉴别分析的基本思想是将高维的模式样本投影到最佳鉴别矢量空间,以达到抽取分类信息和压缩特征空间维数的效果,投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离,即模式在该空间中有最佳的可分离性。因此,它是一种有效的特征抽取方法。使用这种方法能够使投影后模式样本的类间散布矩阵最大,并且同时类内散布矩阵最小。就是说,它能够保证投影后模式样本在新的空间中有最小的类内距离和最大的类间距离,即模式在该空间中有最
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Fisher discriminant analysis with kernel-This function implements Fisher discriminant analysis with kernel, which can be applied on very high dimensional space.
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Fisher 线性判别分析算法matlab实现及感知器算法实现-Fisher linear discrimination analysis,perceptron
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模式识别最基本的FISHER线性判别分析,使用数字识别数据集合作为测试 训练 数据 进行判别分析的一种编程实现,其中训练跟测试是分开的。-FISHER basic pattern recognition linear discriminant analysis, using as the test data set to identify the number of training data to achieve a programming discriminant analysis, whi
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采用核费舍尔鉴别准则做的静态背景的运动目标分类-Fisher discriminant make use of nuclear static background moving target classification
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Fisher判别实现鸢尾花数据集中三类特性两类样本情况下的分类-Fisher discriminant achieve Iris dataset classified into three categories characteristic of the two kinds of case
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利用fisher线性判别分析方法的matlab代码-Use of fisher linear discriminant analysis method matlab code
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Fisher进行数据线性判别分析,里边包含有原数据,所有程序均运行成功。-Fisher linear discriminant analysis data code. It contains raw data, all programs run successfully.
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模式识别下的Fisher线性判别分析在VC++下的实现。-Fisher linear discriminant analysis pattern recognition under achieved under VC++' s.
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