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 Results for DC.creator="G." AND DC.creator="Barr" in section 3.8.4 of volume H
Powder data as a tree: the minimum spanning trees
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2.3, p. 331 [ doi:10.1107/97809553602060000953 ]
Powder data as a tree: the minimum spanning trees 3.8.4.2.3. Powder data as a tree: the minimum spanning trees The minimum spanning tree (MST) displays the MMDS plot as a tree whose points are the data from the MMDS calculation (in three dimensions) and whose weights are the distances between these ...

The grand tour
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2.2, p. 331 [ doi:10.1107/97809553602060000953 ]
... the clustering is actually well defined in all six dimensions (Barr, Dong & Gilmore, 2009 ). References Asimov, D. (1985). The ... multidimensional data. SIAM J. Sci. Stat. Comput. 6, 128-143.GoogleScholar Barr, G., Dong, W. & Gilmore, C. J. (2009). PolySNAP3: a ...

Parallel-coordinates plots
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2.1, pp. 330-331 [ doi:10.1107/97809553602060000953 ]
... a set of 80 organic samples partitioned into four clusters (Barr, Dong & Gilmore, 2009 ). The plot shows that the clustering ... maintained when the data are examined in six dimensions. References Barr, G., Dong, W. & Gilmore, C. J. (2009). PolySNAP3: a ...

Secondary visualization using parallel coordinates, the grand tour and minimum spanning trees
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2, pp. 330-331 [ doi:10.1107/97809553602060000953 ]
... a set of 80 organic samples partitioned into four clusters (Barr, Dong & Gilmore, 2009 ). The plot shows that the clustering ... the clustering is actually well defined in all six dimensions (Barr, Dong & Gilmore, 2009 ). 3.8.4.2.3. Powder data as a tree ... multidimensional data. SIAM J. Sci. Stat. Comput. 6, 128-143.GoogleScholar Barr, G., Dong, W. & Gilmore, C. J. (2009). PolySNAP3: ...

Primary data visualization
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.4.1, pp. 329-330 [ doi:10.1107/97809553602060000953 ]
... required, techniques that often need tuning for each individual application (Barr, Cunningham et al., 2009 ; Barr, Dong & Gilmore, 2009 ). References Barr, G., Cunningham, G., Dong, W., Gilmore, C. J. & Kojima, ...

Data visualization
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.4, pp. 329-331 [ doi:10.1107/97809553602060000953 ]
... required, techniques that often need tuning for each individual application (Barr, Cunningham et al., 2009 ; Barr, Dong & Gilmore, 2009 ). 3.8.4.2. Secondary visualization using parallel coordinates ... a set of 80 organic samples partitioned into four clusters (Barr, Dong & Gilmore, 2009 ). The plot shows that the ...

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