메뉴 건너뛰기




Volumn 31, Issue 3 PART 4, 2012, Pages 1345-1354

Semi-supervised dimensionality reduction based on partial least squares for visual analysis of high dimensional data

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA VISUALIZATION; LEAST SQUARES APPROXIMATIONS; MAPPING; STATISTICAL MECHANICS; VISUALIZATION;

EID: 84879726551     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2012.03126.x     Document Type: Article
Times cited : (15)

References (35)
  • 2
    • 0030859519 scopus 로고    scopus 로고
    • Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regression, with applications to pyrolysis mass spectrometry
    • 3
    • [BGJ-97] BROADHURST D., GOODACRE R., JONES A., ROWLAND J., KELL D.: Genetic Algorithms as a Method for Variable Selection in Multiple Linear Regression and Partial Least Squares Regression, with Applications to Pyrolysis Mass Spectrometry. Analytica Chimica Acta 348, 1-3 (1997), 71-86. 3
    • (1997) Analytica Chimica Acta , vol.348 , Issue.1-3 , pp. 71-86
    • Broadhurst, D.1    Goodacre, R.2    Jones, A.3    Rowland, J.4    Kell, D.5
  • 3
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • 2
    • [BN03] BELKIN M., NIYOGI P.: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Com- put. 15, 6 (2003), 1373-1396. 2
    • (2003) Neural Com- Put. , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 4
    • 38149007264 scopus 로고    scopus 로고
    • Eigensolver methods for progressive multidimensional scaling of large data
    • Springer 2
    • [BP07] BRANDES U., PICH C.: Eigensolver Methods for Progressive Multidimensional Scaling of Large Data. In LNCS, vol. 4372. Springer, 2007, pp. 42-53. 2
    • (2007) LNCS , vol.4372 , pp. 42-53
    • Brandes, U.1    Pich, C.2
  • 5
    • 33846515112 scopus 로고    scopus 로고
    • Partial least squares: A versatile tool for the analysis of high-dimensional genomic data
    • 2 3
    • [BS07] BOULESTEIX A.-L., STRIMMER K.: Partial Least Squares: A Versatile Tool for the Analysis of High-Dimensional Genomic Data. Briefings in Bioinformatics 8, 1 (2007), 32-44. 2, 3
    • (2007) Briefings in Bioinformatics , vol.8 , Issue.1 , pp. 32-44
    • Boulesteix, A.-L.1    Strimmer, K.2
  • 7
    • 2342524089 scopus 로고    scopus 로고
    • Partial least-squares vs. lanczos bidiagonalization-I: Analysis of a projection method for multiple regression
    • 2
    • [Eld04] ELDEN L.: Partial Least-Squares vs. Lanczos Bidiagonalization-I: Analysis of a Projection Method for Multiple Regression. Computational Statistics & Data Analysis 46, 1 (2004), 11-31. 2
    • (2004) Computational Statistics & Data Analysis , vol.46 , Issue.1 , pp. 11-31
    • Elden, L.1
  • 8
    • 51949103533 scopus 로고    scopus 로고
    • A mobile vision system for robust multi-person tracking
    • (Anchorage, AK, USA, June 5
    • [ELS-08] ESS A., LEIBE B., SCHINDLER K., VAN GOOL L.: A Mobile Vision System for Robust Multi-Person Tracking. In IEEE CVPR (Anchorage, AK, USA, June 2008), pp. 1-8. 5
    • (2008) IEEE CVPR , pp. 1-8
    • Ess, A.1    Leibe, B.2    Schindler, K.3    Van Gool, L.4
  • 10
    • 85152373811 scopus 로고
    • Notes on the history and nature of partial least squares (PLS) modelling
    • 3
    • [Gel88] GELADI P.: Notes on the History and Nature of Partial Least Squares (PLS) Modelling. Journal of Chemometrics 2, 4 (1988), 231-246. 3
    • (1988) Journal of Chemometrics , vol.2 , Issue.4 , pp. 231-246
    • Geladi, P.1
  • 12
  • 14
    • 84935030768 scopus 로고    scopus 로고
    • ACE: A fast multiscale eigenvectors computation for drawing huge graphs
    • 2
    • [KCH02] KOREN Y., CARMEL L., HAREL D.: ACE: A Fast Multiscale Eigenvectors Computation for Drawing Huge Graphs. In IEEE Symp. on Inform. Visualiz. (2002), pp. 137-144. 2
    • (2002) IEEE Symp. on Inform. Visualiz. , pp. 137-144
    • Koren, Y.1    Carmel, L.2    Harel, D.3
  • 15
    • 79955472171 scopus 로고    scopus 로고
    • Vehicle detection using partial least squares
    • 3
    • [KHD11] KEMBHAVI A., HARWOOD D., DAVIS L.: Vehicle Detection Using Partial Least Squares. IEEE TPAMI 33, 6 (2011), 1250-1265. 3
    • (2011) IEEE TPAMI , vol.33 , Issue.6 , pp. 1250-1265
    • Kembhavi, A.1    Harwood, D.2    Davis, L.3
  • 16
    • 24944533365 scopus 로고
    • Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
    • 2
    • [Kru64] KRUSKAL J.: Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis. Psychometrika 29 (1964), 115-129. 2
    • (1964) Psychometrika , vol.29 , pp. 115-129
    • Kruskal, J.1
  • 17
    • 84984332134 scopus 로고
    • Interactive variable selection (IVS) for PLS. Part II: Chemical applications
    • 3
    • [LGB-95] LINDGREN F., GELADI P., BERGLUND A., SJOSTROM M., WOLD S.: Interactive Variable Selection (IVS) for PLS. Part II: Chemical Applications. Journal of Chemometrics 9, 5 (1995), 331-342. 3
    • (1995) Journal of Chemometrics , vol.9 , Issue.5 , pp. 331-342
    • Lindgren, F.1    Geladi, P.2    Berglund, A.3    Sjostrom, M.4    Wold, S.5
  • 18
    • 33749330355 scopus 로고    scopus 로고
    • Use of partial least squares regression and multidimensional scaling on aroma models of California chardonnay wines
    • Sept. 2
    • [LN06] LEE S.-J., NOBLE A.: Use of Partial Least Squares Regression and Multidimensional Scaling on Aroma Models of California Chardonnay Wines. American J. Enology and Viticulture 57, 3 (Sept. 2006), 363-370. 2
    • (2006) American J. Enology and Viticulture , vol.57 , Issue.3 , pp. 363-370
    • Lee, S.-J.1    Noble, A.2
  • 19
  • 20
    • 0036133149 scopus 로고    scopus 로고
    • A new statistical method for testing hypotheses of neuropsychological/MRI relationships in schizophrenia: Partial least squares analysis
    • 3
    • [NOM-02] NESTOR P., O'DONNELL B., MCCARLEY R., NIZNIKIEWICZ M., BARNARD J., SHEN Z., BOOKSTEIN F., SHENTON M.: A New Statistical Method for Testing Hypotheses of Neuropsychological/MRI Relationships in Schizophrenia: Partial Least Squares Analysis. Schizophrenia Research 53, 1-2 (2002), 57-66. 3
    • (2002) Schizophrenia Research , vol.53 , Issue.1-2 , pp. 57-66
    • Nestor, P.1    O'Donnell, B.2    McCarley, R.3    Niznikiewicz, M.4    Barnard, J.5    Shen, Z.6    Bookstein, F.7    Shenton, M.8
  • 21
    • 0036166439 scopus 로고    scopus 로고
    • Tumor classification by partial least squares using microarray gene expression data
    • 3
    • [NR02] NGUYEN D., ROCKE D.: Tumor Classification by Partial Least Squares Using Microarray Gene Expression Data. Bioinformatics 18, 1 (2002), 39-50. 3
    • (2002) Bioinformatics , vol.18 , Issue.1 , pp. 39-50
    • Nguyen, D.1    Rocke, D.2
  • 23
    • 80955137017 scopus 로고    scopus 로고
    • Piecewise laplacian-based projection for interactive data exploration organization
    • 2
    • [PEP-11] PAULOVICH F., ELER D., POCO J., BOTHA C., MINGHIM R., NONATO L.: Piecewise Laplacian-based Projection for Interactive Data Exploration and Organization. IEEE CGF, Proc. Eurovis 2011 30, 3 (2011), 1091-1100. 2
    • (2011) IEEE CGF, Proc. Eurovis 2011 , vol.30 , Issue.3 , pp. 1091-1100
    • Paulovich, F.1    Eler, D.2    Poco, J.3    Botha, C.4    Minghim, R.5    Nonato, L.6
  • 24
    • 80955157799 scopus 로고    scopus 로고
    • Improved similarity trees and their application to visual data classification
    • Dec 2
    • [PFCP-11] PAIVA J., FLORIAN-CRUZ L., PEDRINI H., TELLES G., MINGHIM R.: Improved Similarity Trees and their Application to Visual Data Classification. IEEE TVCG 17, 12 (Dec. 2011), 2459-2468. 2
    • (2011) IEEE TVCG , vol.17 , Issue.12 , pp. 2459-2468
    • Paiva, J.1    Florian-Cruz, L.2    Pedrini, H.3    Telles, G.4    Minghim, R.5
  • 25
    • 41549088933 scopus 로고    scopus 로고
    • Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping
    • 2
    • [PNML08] PAULOVICH F., NONATO L., MINGHIM R., LEVKOWITZ H.: Least Square Projection: A Fast High-Precision Multidimensional Projection Technique and Its Application to Document Mapping. IEEE TVCG 14, 3 (2008), 564-575. 2
    • (2008) IEEE TVCG , vol.14 , Issue.3 , pp. 564-575
    • Paulovich, F.1    Nonato, L.2    Minghim, R.3    Levkowitz, H.4
  • 26
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • 5500 Dec. 2
    • [RS00] ROWEIS S., SAUL L.: Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science 290, 5500 (Dec. 2000), 2323-2326. 2
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 28
    • 85015879350 scopus 로고    scopus 로고
    • Human detection using partial least squares analysis
    • 3
    • [SKHD09] SCHWARTZ W., KEMBHAVI A., HARWOOD D., DAVIS L.: Human Detection Using Partial Least Squares Analysis. In IEEE ICCV (2009), pp. 24-31. 3
    • (2009) IEEE ICCV , pp. 24-31
    • Schwartz, W.1    Kembhavi, A.2    Harwood, D.3    Davis, L.4
  • 29
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Dec 2
    • [TdSL00] TENENBAUM J., DE SILVA V., LANGFORD J.: A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science 290, 5500 (Dec. 2000), 2319-2323. 2
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.1    De Silva, V.2    Langford, J.3
  • 30
    • 84879707297 scopus 로고    scopus 로고
    • EnsembleMatrix: Interactive visualization to support machine learning with multiple classifiers
    • 2
    • [TLKT09] TALBOT J., LEE B., KAPOOR A., TAN D.: EnsembleMatrix: Interactive Visualization to Support Machine Learning with Multiple Classifiers. In ACM CHI (2009), pp. 1283- 1292. 2
    • (2009) ACM CHI , pp. 1283-1292
    • Talbot, J.1    Lee, B.2    Kapoor, A.3    Tan, D.4
  • 31
    • 0013824247 scopus 로고
    • Multidimensional scaling of similarity
    • 2
    • [Tor65] TORGESON W.: Multidimensional Scaling of Similarity. Psychometrika 30 (1965), 379-393. 2
    • (1965) Psychometrika , vol.30 , pp. 379-393
    • Torgeson, W.1
  • 33
    • 0000781020 scopus 로고
    • Partial least squares
    • Wiley, New York, NY, USA, 1 2 3
    • [Wol85] WOLD H.: Partial Least Squares. In Encyclopedia of Statistical Sciences, vol. 6. Wiley, New York, NY, USA, 1985, pp. 581-591. 1, 2, 3
    • (1985) Encyclopedia of Statistical Sciences , vol.6 , pp. 581-591
    • Wold, H.1
  • 34
    • 54949121720 scopus 로고    scopus 로고
    • Interactive hierarchical dimension ordering, spacing and filtering for exploration of high dimensional datasets
    • (Seattle, WA, USA, Oct 2
    • [WPW03] WANG J., PENG W., WARD M.: Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets. In IEEE Symp. on Inform. Visualiz. (Seattle, WA, USA, Oct. 2003), pp. 105-112. 2
    • (2003) IEEE Symp. on Inform. Visualiz , pp. 105-112
    • Wang, J.1    Peng, W.2    Ward, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.