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基于核的fisher判别分析，中文文献，从各个核心期刊中收集，希望对大家有用-Kernel-based fisher discriminant analysis, English literature, from all the core collection of journals, U.S. hope to be useful
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本文档包括了对软件中用到的多元统计分析中判别分析与聚类分析的主要方法(包括距离判别分析,费希尔判别分析,贝叶斯判别分析,逐步判别分析及聚类分析)原理及在本软件中使用的基本方法与设计流程图进行了详尽的阐释,在通过本文档的阅读对软件有一个总体的了解后再确定您要使用的分析方法-This document includes the software used in multivariate statistical analysis of discriminant analysis and cluster
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The attached File contains MatLAB Implementation of Linear Discriminant Analysis
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FISHER线性鉴别分析的理论研究及其应用.PDF-FISHER linear discriminant analysis theory and its applications. PDF
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Face Recognition by Fisher and Scatter Linear Discriminant Analysis.rar
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This all about Linear Discriminant Analysis-This is all about Linear Discriminant Analysis
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A Guide to Multivariate Techniques
Preparation for Statistical Analysis
Review: ANOVA
Review: ANCOVA
MANOVA
MANCOVA
Repeated Measure Analysis
Factor Analysis
Discriminant Analysis
Cluster Analysis
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文章拟采用机油和油菜的高光谱图像数据为具体对象，分别从光谱特性分析和图像特性分析两个角度，采用流形学习方法探索一种从非线性高光谱图像数据中提取低维本质信息的方法，结合支持向量机、线性判别分析等模式识别方法建立机油品种和油菜品种的识别模型
-Article intends to adopt oil and rapeseed hyperspectral image data for a specific object, respectively, from the spectral chara
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人脸识别经典方法,主成分分析（PCA），线性鉴别分析（LDA）-Face the classical method, principal component analysis (PCA), linear discriminant analysis (LDA)
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人脸识别经典方法LDA在二维上的推广，2DLDA方法-Recognition classical methods to promote the two-dimensional LDA, 2DLDA method
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人脸识别经典文献,介绍特征脸的核方法，核判别分析（KFDA）-Face classic literature, describes the characteristics of the face method, kernel discriminant analysis (KFDA)
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人脸识别经典文献，核主成分分析融合线性判别分析（KPCA+LDA）-Face classic literature, nuclear fusion principal component analysis linear discriminant analysis (KPCA+LDA)
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COST-SENSITIVE SEMI-SUPERVISED DISCRIMINANT ANALYSIS FOR FACE RECOGNITION
Abstract:
In our Project, we present a cost-sensitive semi-supervised discriminant analysis method for face recognition.
In previous methods of dimensionality reductio
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Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction
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This study proposes a novel near infrared face recognition algorithm based on a combination of both
local and global features. In this method local features are extracted from partitioned images by means
of undecimated discrete wavelet transform
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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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LDA线性判别分析算法，用于图像处理中的数据降维方法-LDA linear discriminant analysis algorithm, dimensionality reduction method used for image processing of data
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R 语言中高维聚类package，方便快捷-Discriminant analysis and data clustering methods for high dimensional
data, based on the assumption that high-dimensional data live in different subspaces
with low dimensionality proposing a new parametrization of the Gauss
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When extracting discriminative features multimodal
data, current methods rarely concern the data distribution.
In this paper, we present an assumption that is consistent with
the viewpoint of discrimination, that is, a person’s overall
biomet
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Linear Discriminant analysis
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