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完整的pca小程序,简单的一些数据。进行分类。是模式识别的基础的一些东西-Complete pca applet, simply some of the data. For classification. Pattern recognition is based on something
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主分量分析,用于对脑电信号的判别分析,也可用于其他的二分类分析。-the classifier of principle component analysis,using for EEG and binary classification
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一些典型的模式分类及聚类方法 包括k均值 FDA PCA LMS 贝叶斯 K近邻-The typical pattern classification and clustering methods including k-means FDA PCA LMS Bayesian K-nearest neighbor
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pca主成分分析法,能够对高维数据进行降维,并能够实现分类-pca principal component analysis to reduce the dimensionality of high-dimensional data, and be able to achieve the classification
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实用主成分分析和人工神经网络方法,对数据进行处理分析-Classification Using PCA and FFT
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该算法主要是模式识别的分类算法,KNN 最近邻分类算法-The algorithm is pattern recognition classification algorithm, KNN nearest neighbor classification algorithm
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心电图是一种经胸腔的以时间为单位记录心脏的电生理活动,并通过皮肤上的电极捕捉并记录下来的诊疗技术,能警示人体心脏健康状况。我们对十种不同心脏状况的心电图(ECG)数据进行实验,在对原始数据进行了一系列预处理后,利用PCA和ICA进行特征提取降维得到新的特征空间,并利用支持向量机进行训练,最后对未分类心电数据进行分类标记并评价其性能。-Electrocardiography (ECG) is a transthoracic interpretation of the electrical acti
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PCA distance and classification example
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利用PCA-SVM的图片降维和识别分类,并分析重建误差等的主程序-The use of PCA-SVM pictures dimensionality reduction and identification and classification, and analyze the main reconstruction error, etc.
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PCA算法实现对数据降维,train_sample为训练样本,train_class为训练样本的分类结果,test_sample为测试样本,test_class为测试样本的分类结果,可以从UCI下载数据集进行调用~-PCA algorithm for data dimensionality reduction, train_sample of training samples, train_class for the classification of training samples, tes
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这是一个包含PCA降维的matlab程序加上用svm分类的一个程序。-This is a PCA dimensionality reduction plus matlab program contains a program with svm classification.
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使用主成分分析的方法进行英文字母识别,使用了多种限制条件的协方差矩阵进行测试-use PCA for alphabet classification
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又提供一基于生理的情感神经网络,包含杏仁体,丘脑,视觉神经等重要元素,可用于分类与预测,性能优越于SVM,BP-The use of neural network based on emotional physiology, contains important elements of the amygdala, thalamus, optic nerve, etc., can be used for classification and prediction, superior perform
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用于各种特征提取主成分分析法,如表情提取,人脸提取,识别分类等-For a variety of features to extract the principal component analysis (pca),Such as expression extraction, face extraction, identification classification, etc
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pca主成分分析,在多变量选择上效果较好,对数据的主成分进行分析,常用于分类、聚类、实验数据处理-Pca principal component analysis in multivariate selection effect is good, principal component analysis of data, often used in classification, clustering, experimental data processing
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此代码是采用PCA进行分类,神经网络进行自动识别,是自己手动编写的线性代码,有什么不对的地方,多多交流。-This code is the use of PCA classification, neural networks for automatic identification, is to manually write linear code, what is wrong with it, more exchanges.
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This the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then KNN is applied for classification.-This is the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then
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没有使用matlab自带工具包,而是使用了自写的PCA,来用其对数据进行线性分类。-without using the toolbox given by matlab,i write pca myself and implement it into LDA classification.
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主成分分析,对多特征数据进行主成分分析,降低样本的维度,实现分类前的预处理。-Principal component analysis, principal component analysis was carried out on the characteristic data, reduce the dimension of sample pretreatment before implement classification.
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K—mean分类和主成分分析法的应用实例,很明晰的讲解实例,非常适合算法应用的学习-Application examples Kmean classification and principal component analysis, it is clear to explain instance, very suitable learning algorithm
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