ON THE DISTRIBUTION OF THE LATENT VECTORS FOR PRINCIPAL COMPONENT ANALYSIS

被引:2
作者
SUGIYAMA, T
机构
来源
ANNALS OF MATHEMATICAL STATISTICS | 1965年 / 36卷 / 06期
关键词
D O I
10.1214/aoms/1177699821
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
引用
收藏
页码:1875 / 1876
页数:2
相关论文
共 50 条
[41]   Principal Component Analysis for Normal-Distribution-Valued Symbolic Data [J].
Wang, Huiwen ;
Chen, Meiling ;
Shi, Xiaojun ;
Li, Nan .
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (02) :356-365
[42]   Primary Voltage Forecasting in Distribution Systems using Principal Component Analysis [J].
Reddy, Motakatla Venkateswara ;
Dubey, Anamika .
2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2021,
[43]   Comprehensive evaluation to distribution network planning using principal component analysis [J].
Ruilian, Wang ;
Gao, Shengjian .
Computer Modelling and New Technologies, 2014, 18 (12) :361-366
[44]   Constrained principal component analysis of standardized data for biplots with unit-length variable vectors [J].
Adachi, Kohei .
ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2011, 5 (01) :23-36
[45]   Constrained principal component analysis of standardized data for biplots with unit-length variable vectors [J].
Kohei Adachi .
Advances in Data Analysis and Classification, 2011, 5 :23-36
[46]   Anomaly Detection Based on Kernel Principal Component and Principal Component Analysis [J].
Wang, Wei ;
Zhang, Min ;
Wang, Dan ;
Jiang, Yu ;
Li, Yuliang ;
Wu, Hongda .
COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, 2019, 463 :2222-2228
[47]   Exploration of Principal Component Analysis: Deriving Principal Component Analysis Visually Using Spectra [J].
Beattie, J. Renwick ;
Esmonde-White, Francis W. L. .
APPLIED SPECTROSCOPY, 2021, 75 (04) :361-375
[48]   Anomaly detection based on kernel principal component and principal component analysis [J].
Wang, Wei ;
Zhang, Min ;
Wang, Dan ;
Jiang, Yu ;
Li, Yuliang ;
Wu, Hongda .
Lecture Notes in Electrical Engineering, 2019, 463 :2222-2228
[49]   Probabilistic non-linear principal component analysis with Gaussian process latent variable models [J].
Lawrence, N .
JOURNAL OF MACHINE LEARNING RESEARCH, 2005, 6 :1783-1816
[50]   3D Point Cloud Cluster Analysis Based on Principal Component Analysis of Normal-vectors [J].
Hayata, Takeshi ;
Hotta, Tomitaka ;
Iwakiri, Munetoshi .
2015 IEEE 4TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE), 2015, :511-512