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MDP Name and Reference(s):
PCAH. Hotelling. Analysis of a complex of statistical variables into principal components. J. Educat. Psych., 24(6):417, 1933.
LDA
R. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7:179–188, 1936.
Classical MDS
W. Torgerson. Multidimensional scaling: I. theory and method. Psy- chometrika, 17(4):401–419, 1952.
NLM
J. Sammon. A nonlinear mapping for data structure analysis. IEEE Trans. on Comp., 18(5):401–409, 1969.
FastMap
C.FaloutsosandK.Lin.Fastmap:Afastalgorithmforindexing,datamin-ing and visualization of traditional and multimedia databases. In ACM SIGMOD, pp. 163–174, 1995.
Chalmers
M. Chalmers. A linear iteration time layout algorithm for visualising high-dimensional data. In IEEE Visualization, pp. 127–131, 1996.
GTM
C. Bishop, M. Svensén, and C. Williams. Gtm: The generative topo- graphic mapping. Neural Computation, 10(1):215–234, 1998.
LLE
S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323–2326, 2000.
Isomap
J. Tenenbaum, V. Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319–2323, 2000.
LTSA
Z.-y. Zhang and H.-y. Zha. Principal manifolds and nonlinear dimen- sionality reduction via tangent space alignment. J. Shanghai Univ., 8(4):406–424, 2004.
LSP
F. Paulovich, L. Nonato, R. Minghim, and H. Levkowitz. Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping. IEEE Trans. Vis. Comp. Graph., 14(3):564 –575, 2008.
SNE
G. Hinton and S. Roweis. Stochastic neighbor embedding. In NIPS, pp. 833–840, 2002.
PLMP
F. Paulovich, C. Silva, and L. Nonato. Two-phase mapping for projecting massive data sets. IEEE Trans. Vis. Comp. Graph., 16(6):1281–1290, 2010.
LAMP
P. Joia, D. Coimbra, J. Cuminato, F. Paulovich, and L. Nonato. Local affine multidimensional projection. IEEE Trans. Vis. Comp. Graph., 17:2563–2571, 2011.
MDP Name and Reference(s):
PCAH. Hotelling. Analysis of a complex of statistical variables into principal components. J. Educat. Psych., 24(6):417, 1933.
LDA
R. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7:179–188, 1936.
Classical MDS
W. Torgerson. Multidimensional scaling: I. theory and method. Psy- chometrika, 17(4):401–419, 1952.
NLM
J. Sammon. A nonlinear mapping for data structure analysis. IEEE Trans. on Comp., 18(5):401–409, 1969.
FastMap
C.FaloutsosandK.Lin.Fastmap:Afastalgorithmforindexing,datamin-ing and visualization of traditional and multimedia databases. In ACM SIGMOD, pp. 163–174, 1995.
Chalmers
M. Chalmers. A linear iteration time layout algorithm for visualising high-dimensional data. In IEEE Visualization, pp. 127–131, 1996.
GTM
C. Bishop, M. Svensén, and C. Williams. Gtm: The generative topo- graphic mapping. Neural Computation, 10(1):215–234, 1998.
LLE
S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323–2326, 2000.
Isomap
J. Tenenbaum, V. Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319–2323, 2000.
LTSA
Z.-y. Zhang and H.-y. Zha. Principal manifolds and nonlinear dimen- sionality reduction via tangent space alignment. J. Shanghai Univ., 8(4):406–424, 2004.
LSP
F. Paulovich, L. Nonato, R. Minghim, and H. Levkowitz. Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping. IEEE Trans. Vis. Comp. Graph., 14(3):564 –575, 2008.
SNE
G. Hinton and S. Roweis. Stochastic neighbor embedding. In NIPS, pp. 833–840, 2002.
PLMP
F. Paulovich, C. Silva, and L. Nonato. Two-phase mapping for projecting massive data sets. IEEE Trans. Vis. Comp. Graph., 16(6):1281–1290, 2010.
LAMP
P. Joia, D. Coimbra, J. Cuminato, F. Paulovich, and L. Nonato. Local affine multidimensional projection. IEEE Trans. Vis. Comp. Graph., 17:2563–2571, 2011.
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H. Hotelling. Analysis of a complex of statistical variables into principal components. J. Educat. Psych., 24(6):417, 1933.
LDA
R. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7:179–188, 1936.
Classical MDS
W. Torgerson. Multidimensional scaling: I. theory and method. Psy- chometrika, 17(4):401–419, 1952.
NLM
J. Sammon. A nonlinear mapping for data structure analysis. IEEE Trans. on Comp., 18(5):401–409, 1969.
FastMap
C.FaloutsosandK.Lin.Fastmap:Afastalgorithmforindexing,datamin-ing and visualization of traditional and multimedia databases. In ACM SIGMOD, pp. 163–174, 1995.
Chalmers
M. Chalmers. A linear iteration time layout algorithm for visualising high-dimensional data. In IEEE Visualization, pp. 127–131, 1996.
GTM
C. Bishop, M. Svensén, and C. Williams. Gtm: The generative topo- graphic mapping. Neural Computation, 10(1):215–234, 1998.
LLE
S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323–2326, 2000.
Isomap
J. Tenenbaum, V. Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319–2323, 2000.
LTSA
Z.-y. Zhang and H.-y. Zha. Principal manifolds and nonlinear dimen- sionality reduction via tangent space alignment. J. Shanghai Univ., 8(4):406–424, 2004.
LSP
F. Paulovich, L. Nonato, R. Minghim, and H. Levkowitz. Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping. IEEE Trans. Vis. Comp. Graph., 14(3):564 –575, 2008.
SNE
G. Hinton and S. Roweis. Stochastic neighbor embedding. In NIPS, pp. 833–840, 2002.
PLMP
F. Paulovich, C. Silva, and L. Nonato. Two-phase mapping for projecting massive data sets. IEEE Trans. Vis. Comp. Graph., 16(6):1281–1290, 2010.
LAMP
P. Joia, D. Coimbra, J. Cuminato, F. Paulovich, and L. Nonato. Local affine multidimensional projection. IEEE Trans. Vis. Comp. Graph., 17:2563–2571, 2011.
MDP Name and Reference(s):
PCAH. Hotelling. Analysis of a complex of statistical variables into principal components. J. Educat. Psych., 24(6):417, 1933.
LDA
R. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7:179–188, 1936.
Classical MDS
W. Torgerson. Multidimensional scaling: I. theory and method. Psy- chometrika, 17(4):401–419, 1952.
NLM
J. Sammon. A nonlinear mapping for data structure analysis. IEEE Trans. on Comp., 18(5):401–409, 1969.
FastMap
C.FaloutsosandK.Lin.Fastmap:Afastalgorithmforindexing,datamin-ing and visualization of traditional and multimedia databases. In ACM SIGMOD, pp. 163–174, 1995.
Chalmers
M. Chalmers. A linear iteration time layout algorithm for visualising high-dimensional data. In IEEE Visualization, pp. 127–131, 1996.
GTM
C. Bishop, M. Svensén, and C. Williams. Gtm: The generative topo- graphic mapping. Neural Computation, 10(1):215–234, 1998.
LLE
S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323–2326, 2000.
Isomap
J. Tenenbaum, V. Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319–2323, 2000.
LTSA
Z.-y. Zhang and H.-y. Zha. Principal manifolds and nonlinear dimen- sionality reduction via tangent space alignment. J. Shanghai Univ., 8(4):406–424, 2004.
LSP
F. Paulovich, L. Nonato, R. Minghim, and H. Levkowitz. Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping. IEEE Trans. Vis. Comp. Graph., 14(3):564 –575, 2008.
SNE
G. Hinton and S. Roweis. Stochastic neighbor embedding. In NIPS, pp. 833–840, 2002.
PLMP
F. Paulovich, C. Silva, and L. Nonato. Two-phase mapping for projecting massive data sets. IEEE Trans. Vis. Comp. Graph., 16(6):1281–1290, 2010.
LAMP
P. Joia, D. Coimbra, J. Cuminato, F. Paulovich, and L. Nonato. Local affine multidimensional projection. IEEE Trans. Vis. Comp. Graph., 17:2563–2571, 2011.
MDP Name and Reference(s):
PCAH. Hotelling. Analysis of a complex of statistical variables into principal components. J. Educat. Psych., 24(6):417, 1933.
LDA
R. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7:179–188, 1936.
Classical MDS
W. Torgerson. Multidimensional scaling: I. theory and method. Psy- chometrika, 17(4):401–419, 1952.
NLM
J. Sammon. A nonlinear mapping for data structure analysis. IEEE Trans. on Comp., 18(5):401–409, 1969.
FastMap
C.FaloutsosandK.Lin.Fastmap:Afastalgorithmforindexing,datamin-ing and visualization of traditional and multimedia databases. In ACM SIGMOD, pp. 163–174, 1995.
Chalmers
M. Chalmers. A linear iteration time layout algorithm for visualising high-dimensional data. In IEEE Visualization, pp. 127–131, 1996.
GTM
C. Bishop, M. Svensén, and C. Williams. Gtm: The generative topo- graphic mapping. Neural Computation, 10(1):215–234, 1998.
LLE
S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323–2326, 2000.
Isomap
J. Tenenbaum, V. Silva, and J. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319–2323, 2000.
LTSA
Z.-y. Zhang and H.-y. Zha. Principal manifolds and nonlinear dimen- sionality reduction via tangent space alignment. J. Shanghai Univ., 8(4):406–424, 2004.
LSP
F. Paulovich, L. Nonato, R. Minghim, and H. Levkowitz. Least square projection: A fast high-precision multidimensional projection technique and its application to document mapping. IEEE Trans. Vis. Comp. Graph., 14(3):564 –575, 2008.
SNE
G. Hinton and S. Roweis. Stochastic neighbor embedding. In NIPS, pp. 833–840, 2002.
PLMP
F. Paulovich, C. Silva, and L. Nonato. Two-phase mapping for projecting massive data sets. IEEE Trans. Vis. Comp. Graph., 16(6):1281–1290, 2010.
LAMP
P. Joia, D. Coimbra, J. Cuminato, F. Paulovich, and L. Nonato. Local affine multidimensional projection. IEEE Trans. Vis. Comp. Graph., 17:2563–2571, 2011.