Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Victor Onclinx"'
Publikováno v:
Neurocomputing, Vol. 72, no. 7-9, p. 1444-1454 (2009)
This paper presents a framework for nonlinear dimensionality reduction methods aimed at projecting data on a non-Euclidean manifold, when their structure is too complex to be embedded in an Euclidean space. The methodology proposes an optimization pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96db25fca085adf0cd66d80c33742816
https://doi.org/10.1016/j.neucom.2008.12.018
https://doi.org/10.1016/j.neucom.2008.12.018
Publikováno v:
IJCNN
Dimensionality reduction techniques aim at representing high-dimensional data in low-dimensional spaces. To be faithful and reliable, the representation is usually required to preserve proximity relationships. In practice, methods like multidimension
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59e0a9918f914be70f659a54e8b58c47
https://doi.org/10.1109/ijcnn.2010.5596347
https://doi.org/10.1109/ijcnn.2010.5596347