matlab umap code  (MathWorks Inc)

Journal: Entropy

Article Title: Uniform Manifold Approximation and Projection Analysis of Soccer Players

doi: 10.3390/e23070793

Figure Lengend Snippet: The 3D loci of players in the FIFA 2021 dataset obtained by the UMAP with the distances: ( a ) d A r ; ( b ) d C a ; ( c ) d C o ; ( d ) d L o .

Article Snippet: For implementing the UMAP dimensionality reduction, clustering and visualization tool we used the Matlab UMAP code, version 2.1.3 , developed by Stephen Meehan et al. [ ].

Techniques:

Journal: Entropy

Article Title: Uniform Manifold Approximation and Projection Analysis of Soccer Players

doi: 10.3390/e23070793

Figure Lengend Snippet: The 3D loci obtained by the UMAP with the Canberra distance d C a for the FIFA 2021 dataset. The colormap is proportional to the attributes: ( a ) ln ( overall ) ; ( b ) ln ( value _ eur ) ; ( c ) ln ( wage _ eur ) ; ( d ) ln ( release _ clause _ eur ) .

Article Snippet: For implementing the UMAP dimensionality reduction, clustering and visualization tool we used the Matlab UMAP code, version 2.1.3 , developed by Stephen Meehan et al. [ ].

Techniques:

Journal: Entropy

Article Title: Uniform Manifold Approximation and Projection Analysis of Soccer Players

doi: 10.3390/e23070793

Figure Lengend Snippet: The 3D loci of players in the groups {Defenders, Centre Midfielders, Wingers, Strikers} the FIFA 2021 dataset obtained by the UMAP with the distances: ( a ) d A r ; ( b ) d C a ; ( c ) d C o ; ( d ) d L o .

Article Snippet: For implementing the UMAP dimensionality reduction, clustering and visualization tool we used the Matlab UMAP code, version 2.1.3 , developed by Stephen Meehan et al. [ ].

Techniques:

Journal: Entropy

Article Title: Uniform Manifold Approximation and Projection Analysis of Soccer Players

doi: 10.3390/e23070793

Figure Lengend Snippet: The 3D loci obtained by the UMAP with the Canberra distance for the FIFA 2021 dataset: ( a ) Goalkeepers; ( b ) Strikers. The colormap is proportional to the attribute ln ( value _ eur ) .

Article Snippet: For implementing the UMAP dimensionality reduction, clustering and visualization tool we used the Matlab UMAP code, version 2.1.3 , developed by Stephen Meehan et al. [ ].

Techniques:

Journal: Entropy

Article Title: Uniform Manifold Approximation and Projection Analysis of Soccer Players

doi: 10.3390/e23070793

Figure Lengend Snippet: The 3D locus generated by the UMAP with the Canberra distance for the N = 100 most valuable goalkeepers in the FIFA 2021 dataset. The reference is J. Oblak and w = 10 . The size of the circular marks and the colormap are proportional to the attributes wage _ eur and value _ eur , respectively.

Article Snippet: For implementing the UMAP dimensionality reduction, clustering and visualization tool we used the Matlab UMAP code, version 2.1.3 , developed by Stephen Meehan et al. [ ].

Techniques: Generated

Journal: Entropy

Article Title: Uniform Manifold Approximation and Projection Analysis of Soccer Players

doi: 10.3390/e23070793

Figure Lengend Snippet: The 3D locus generated by the UMAP with the Canberra distance for the N = 100 most valuable defenders in the FIFA 2021 dataset. The reference is V. van Dijkand and w = 10 . The size of the circular marks and the colormap are proportional to the attributes wage _ eur and value _ eur , respectively.

Article Snippet: For implementing the UMAP dimensionality reduction, clustering and visualization tool we used the Matlab UMAP code, version 2.1.3 , developed by Stephen Meehan et al. [ ].

Techniques: Generated

Journal: Entropy

Article Title: Uniform Manifold Approximation and Projection Analysis of Soccer Players

doi: 10.3390/e23070793

Figure Lengend Snippet: The 3D locus generated by the UMAP with the Canberra distance for the N = 100 most valuable midfielders in the FIFA 2021 dataset. The reference is K. De Bruyne and w = 10 . The size of the circular marks and the colormap are proportional to the attributes wage _ eur and value _ eur , respectively.

Article Snippet: For implementing the UMAP dimensionality reduction, clustering and visualization tool we used the Matlab UMAP code, version 2.1.3 , developed by Stephen Meehan et al. [ ].

Techniques: Generated

Journal: Entropy

Article Title: Uniform Manifold Approximation and Projection Analysis of Soccer Players

doi: 10.3390/e23070793

Figure Lengend Snippet: The 3D locus generated by the UMAP with the Canberra distance for the N = 100 most valuable wingers in the FIFA 2021 dataset. The reference is Neymar Jr and w = 10 . The size of the circular marks and the colormap are proportional to the attributes wage _ eur and value _ eur , respectively.

Article Snippet: For implementing the UMAP dimensionality reduction, clustering and visualization tool we used the Matlab UMAP code, version 2.1.3 , developed by Stephen Meehan et al. [ ].

Techniques: Generated

Journal: Entropy

Article Title: Uniform Manifold Approximation and Projection Analysis of Soccer Players

doi: 10.3390/e23070793

Figure Lengend Snippet: The 3D locus generated by the UMAP with the Canberra distance for the N = 100 most valuable strikers in the FIFA 2021 dataset. The reference is L. Messi and w = 10 . The size of the circular marks and the colormap are proportional to the attributes wage _ eur and value _ eur , respectively.

Article Snippet: For implementing the UMAP dimensionality reduction, clustering and visualization tool we used the Matlab UMAP code, version 2.1.3 , developed by Stephen Meehan et al. [ ].

Techniques: Generated