Comparing three PCA-based methods for the 3d visualization of imaging spectroscopy data

Proceedings of the 5th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2005

Volumn , Issue , 2005, Pages 540-545

  Broersen, Alexander ^a   Van Liere, Robert ^a   Heeren, Ron M A ^b  

^a CWI   (Netherlands)

^b FOM INSTITUTE AMOLF   (Netherlands)

Author keywords

Image processing and analysis; Imaging spectroscopy; Pattern analysis and recognition; Principal component analysis and multidimensional; Transfer function

Indexed keywords

3D VISUALIZATION; IMAGE PROCESSING AND ANALYSIS; IMAGING SPECTROSCOPY; LYMNAEA STAGNALIS; PATTERN ANALYSIS AND RECOGNITION; PCA METHOD; PRINCIPLE COMPONENT ANALYSIS;

DATA VISUALIZATION; IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS; THREE DIMENSIONAL; TRANSFER FUNCTIONS; VISUALIZATION;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 84887232612     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. A. Broersen & R. van Liere, Transfer functions for imaging spectroscopy data using principal component analysis, Proc. Eurographics / IEEE VGTC Symposium on Visualization, Leeds, UK, 2005, 117-123.
2. M. Wall, A. Rechtsteiner, L. Rocha, Singular value decomposition and principal component analysis, A Practical Approach to Microarray Data Analysis, 2003, 91-109.
3. P. Lasch, W. Wäsche, W. McCarthy & D. Naumann, Imaging of human colon carcinoma thin sections by ft-ir microspectroscopy, Infrared Spectroscopy: New Tool in Medicine 3257, 1998, 187-197.
4. M.E. Timmerman, Component analysis of multisubject multivariate longitudinal data (Groningen: University Library Groningen, 2001).
5. H.F. Kaiser, The varimax criterion for analytic rotation in factor analysis, Psychometrika, 23, 1958, 187-200.
6. R.A. Harshman, Foundations of the PARAFAC procedure: Models and conditions for an explanatory multimodal factor analysis. UCLA Working Papers in Phonetics (16), 1970, 1-84.
7. J.D. Carroll & J.J. Chang, Analysis of Individual Differences in Multidimensional scaling via an N-way generalization of Eckart-Young decomposition, Psychometrika 35, 1970, 283-319.
8. H.A.L. Kiers, Hierarchical relations among three-way methods, Psychometrika 56(3), 1991, 449-470.
9. R. Bro, PARAFAC, tutorial and applications, Chemometrics and Intelligent Laboratory Systems, 38(2), 1997, 149-171.
10. I. Scarminio & M. Kubista, Analysis of Correlated Spectral Data, Analytical Chemistry, 65(4), 1993, 409-418.
11. L.A. McDonnell, S.R. Piersma, A.F.M. Altelaar, T.H. Mize, P.D.E.M. Verhaert, J. van Minnen & R.M.A. Heeren, Matrix-enhanced secondary ion mass spectrometry imaging of brain tissue, Journal of Mass Spectrometry 40, 2005, 160-168.