An experimental study: An interpretative division method on principal component analysis
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Ke Wang | Peidong Zhu | Peng Xun | Bowen Shang | Peidong Zhu | Peng Xun | Ke Wang | Bowen Shang
[1] Shigang Liu,et al. Overview of principal component analysis algorithm , 2016 .
[2] Yongduan Song,et al. Fault Detection Filtering for Nonlinear Switched Stochastic Systems , 2016, IEEE Transactions on Automatic Control.
[3] Somaye Ahmadkhani,et al. Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework , 2016, IET Comput. Vis..
[4] Xuefeng Yan,et al. Related and independent variable fault detection based on KPCA and SVDD , 2016 .
[5] Nora El-Gohary,et al. Semantic NLP-Based Information Extraction from Construction Regulatory Documents for Automated Compliance Checking , 2016, J. Comput. Civ. Eng..
[6] L. Mredhula,et al. An Effective Filtering Technique for Image Denoising Using Probabilistic Principal Component Analysis (PPCA) , 2016 .
[7] Alessio Farcomeni,et al. Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non‐ignorable missing data , 2016 .
[8] Hu Han,et al. Research on adaptive control strategy optimization of hybrid electric vehicle , 2016, J. Intell. Fuzzy Syst..
[9] Simone Scardapane,et al. Granular Computing Techniques for Classification and Semantic Characterization of Structured Data , 2015, Cognitive Computation.
[10] Feipeng Da,et al. A dictionary learning and KPCA-based feature extraction method for off-line handwritten Tibetan character recognition , 2015 .
[11] Jun Zhou,et al. Anomaly detection for satellite power subsystem with associated rules based on Kernel Principal Component Analysis , 2015, Microelectron. Reliab..
[12] Fariborz Mahmoudi,et al. Clique-based semantic kernel with application to semantic relatedness , 2015, Nat. Lang. Eng..
[13] Alejandro Jara,et al. The use of data reduction techniques to assess systemic risk: An application to the Chilean banking system , 2015, Intell. Data Anal..
[14] Jonathan M. Garibaldi,et al. Leaf classification using multiple feature analysis based on semi-supervised clustering , 2015, J. Intell. Fuzzy Syst..
[15] Yongduan Song,et al. A novel approach to output feedback control of fuzzy stochastic systems , 2014, Autom..
[16] Lucian L. Visinescu,et al. Orthogonal rotations in latent semantic analysis: An empirical study , 2014, Decis. Support Syst..
[17] Thierry Bouwmans,et al. Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance , 2014, Comput. Vis. Image Underst..
[18] Age K. Smilde,et al. Principal Component Analysis , 2003, Encyclopedia of Machine Learning.
[19] Witold Pedrycz,et al. A construction of sound semantic linguistic scales using 4-tuple representation of term semantics , 2014, Int. J. Approx. Reason..
[20] Charles C. David,et al. Principal component analysis: a method for determining the essential dynamics of proteins. , 2014, Methods in molecular biology.
[21] Mohamed Nadif,et al. Beyond cluster labeling: Semantic interpretation of clusters' contents using a graph representation , 2014, Knowl. Based Syst..
[22] Christopher M. Bishop,et al. Mixtures of Probabilistic Principal Component Analyzers , 1999, Neural Computation.
[23] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[24] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[25] George H. Dunteman,et al. Principal Components Analysis , 1990 .
[26] B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .