Title |
Dimensijų mažinimo metodais gautų projekcijų įvertinimas / |
Another Title |
Evaluation of projections, obtained by dimensionality reduction techniques. |
Authors |
Paulauskienė, Kotryna ; Kurasova, Olga |
DOI |
10.15388/LMR.B.2014.26 |
Full Text |
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Is Part of |
Lietuvos matematikos rinkinys. Ser. B.. Vilnius : Vilniaus universiteto leidykla. 2014, t. 55, p. 137-142.. ISSN 0132-2818. eISSN 2335-898X |
Keywords [eng] |
Projection quality evaluation ; Dimensionality reduction |
Abstract [eng] |
In this paper, the projection evaluation measures such as stress function, Spearman’s rho, Konig’s topology preservation, silhouette and Renyi entropy have been analyzed. The principal component analysis (PCA) and part–linear multidimensional projection (PLMP) techniques are used to reduce the dimensionality of the initial data set. The experiments have been carried out with seven real and artificial datasets. The experimental investigation has shown that several quality evaluation measures have to be used when dimension reduction problem is solved. |
Published |
Vilnius : Vilniaus universiteto leidykla |
Type |
Journal article |
Language |
Lithuanian |
Publication date |
2014 |
CC license |
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