TY - GEN
T1 - Recent advances in nonlinear dimensionality reduction, manifold and topological learning
AU - Wismüller, Axel
AU - Verleysen, Michel
AU - Aupetit, Michael
AU - Lee, John A.
PY - 2010
Y1 - 2010
N2 - The ever-growing amount of data stored in digital databases raises the question of how to organize and extract useful knowledge. This paper outlines some current developments in the domains of dimensionality reduction, manifold learning, and topological learning. Several aspects are dealt with, ranging from novel algorithmic approaches to their realworld applications. The issue of quality assessment is also considered and progress in quantitive as well as visual crieria is reported.
AB - The ever-growing amount of data stored in digital databases raises the question of how to organize and extract useful knowledge. This paper outlines some current developments in the domains of dimensionality reduction, manifold learning, and topological learning. Several aspects are dealt with, ranging from novel algorithmic approaches to their realworld applications. The issue of quality assessment is also considered and progress in quantitive as well as visual crieria is reported.
UR - http://www.scopus.com/inward/record.url?scp=84865697984&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84865697984
SN - 2930307102
SN - 9782930307107
T3 - Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010
SP - 71
EP - 80
BT - Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010
T2 - 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2010
Y2 - 28 April 2010 through 30 April 2010
ER -