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文件名称:8-PLDAPPPPPPP

  • 所属分类：
    CSharp
  • 标签属性：
    [Matlab] [源码]
  • 上传时间：
    2017-01-24
  • 文件大小：
    13.08mb
  • 已下载：
    0次
  • 提 供 者：
    Fat****
  • 相关连接：
    无
  • 下载说明：
    别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

Dimensionality reduction is one of the important preprocessing

steps to handle high-dimensional data. Linear discriminant

analysis (LDA) is a classical and popular approach for this purpose.

LDA finds an optimal linear transformation, which maximizes

the ratio of the variance in the between-class distance to

the variance in the within-class distance. On the other hand,

in order to overcome the limitation in LDA resulting the

assumption of equal covariance, several heteroscedastic extensions,

such as heteroscedastic discriminant analysis (HDA), have

been proposed.-Dimensionality reduction is one of the important preprocessing

steps to handle high-dimensional data. Linear discriminant

analysis (LDA) is a classical and popular approach for this purpose.

LDA finds an optimal linear transformation, which maximizes

the ratio of the variance in the between-class distance to

the variance in the within-class distance. On the other hand,

in order to overcome the limitation in LDA resulting　the

assumption of equal covariance, several heteroscedastic extensions,

such as heteroscedastic discriminant analysis (HDA), have

been proposed.
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下载文件列表

8-PLDA+++++++/address.docx
8-PLDA+++++++/no/20071004_Winston_PLDA.ppt
8-PLDA+++++++/no/plda-3.1-C++/5956491plda-3.1.tar.gz
8-PLDA+++++++/no/plda-3.1-C++/plda/accumulative_model.cc
8-PLDA+++++++/no/plda-3.1-C++/plda/accumulative_model.h
8-PLDA+++++++/no/plda-3.1-C++/plda/cmd_flags.cc
8-PLDA+++++++/no/plda-3.1-C++/plda/cmd_flags.h
8-PLDA+++++++/no/plda-3.1-C++/plda/common.cc
8-PLDA+++++++/no/plda-3.1-C++/plda/common.h
8-PLDA+++++++/no/plda-3.1-C++/plda/COPYING
8-PLDA+++++++/no/plda-3.1-C++/plda/document.cc
8-PLDA+++++++/no/plda-3.1-C++/plda/document.h
8-PLDA+++++++/no/plda-3.1-C++/plda/infer.cc
8-PLDA+++++++/no/plda-3.1-C++/plda/INSTALL
8-PLDA+++++++/no/plda-3.1-C++/plda/lda.cc
8-PLDA+++++++/no/plda-3.1-C++/plda/Makefile
8-PLDA+++++++/no/plda-3.1-C++/plda/model.cc
8-PLDA+++++++/no/plda-3.1-C++/plda/model.h
8-PLDA+++++++/no/plda-3.1-C++/plda/mpi_lda.cc
8-PLDA+++++++/no/plda-3.1-C++/plda/README
8-PLDA+++++++/no/plda-3.1-C++/plda/sampler.cc
8-PLDA+++++++/no/plda-3.1-C++/plda/sampler.h
8-PLDA+++++++/no/plda-3.1-C++/plda/testdata/test_data.txt
8-PLDA+++++++/no/plda-3.1-C++/plda/view_model.py
8-PLDA+++++++/no/plda-3.1-C++/plda-3.1.tar.gz
8-PLDA+++++++/no/probabelistic-lda.pdf
8-PLDA+++++++/P-LDA/1-plda-transfer/plda-orginal.doc
8-PLDA+++++++/P-LDA/1-plda-transfer/plda-ostad.pdf
8-PLDA+++++++/P-LDA/1-plda-transfer/POWER LINEAR DISCRIMINANT ANALYSIS.docx
8-PLDA+++++++/P-LDA/1-plda-transfer/Xj.docx
8-PLDA+++++++/P-LDA/1-plda-transfer/آنالیز متمایز ساز خطی.docx
8-PLDA+++++++/P-LDA/70266646P-LDA.rar
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/cmc_test.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/cmc_train.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/diabetes_test.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/diabetes_train.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/glass_test.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/glass_train.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/ionosphere_test.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/ionosphere_train.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/Iris_test.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/Iris_train.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/tae_test.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/tae_train.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/vowel100_test.data
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/vowel100_trin.data
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/waveform_test.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/waveform_train.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/wine_test.m
8-PLDA+++++++/P-LDA/P-LDA/60-40-dataset/wine_train.m
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/6-vowel_nor/orginal/vowe1.arff
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/6-vowel_nor/orginal/vowel.libsvm
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/6-vowel_nor/orginal/vowel.scale.t
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/6-vowel_nor/vowel.docx
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/6-vowel_nor/vowel100test.libsvm
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/6-vowel_nor/vowel100_test.arff
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/6-vowel_nor/vowel100_trin.arff
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/6-vowel_nor/vowel100_trin.libsvm
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/cmc.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/diabetes.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/diabetes_n.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/glass.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/ionosphere.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/Iris.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/tae.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/vowel100_test.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/vowel100_trin.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/waveform.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/wine.data
8-PLDA+++++++/P-LDA/P-LDA/create_dataset/wine_n.data
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/cmc-test.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/cmc-test.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/cmc-train.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/cmc-train.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/diabet-test.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/diabet-test.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/diabet-train.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/diabet-train.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/glass-test.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/glass-test.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/glass-train.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/glass-train.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/iris-test.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/iris-test.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/iris-train.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/iris-train.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/isonophere-test.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/isonophere-test.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/isonophere-train.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/isonophere-train.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/tae-test.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/tae-test.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/tae-train.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/tae-train.m
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/vowel-test.arff
8-PLDA+++++++/P-LDA/P-LDA/dataset_PLDA/vow

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