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Results for DC.creator="W." AND DC.creator="Dong" in section 3.8.4 of volume H |
Powder data as a tree: the minimum spanning trees
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
International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2.2, p. 331 [ doi:10.1107/97809553602060000953 ]
... clustering is actually well defined in all six dimensions (Barr, Dong & Gilmore, 2009 ). References Asimov, D. (1985). The grand ... SIAM J. Sci. Stat. Comput. 6, 128-143.GoogleScholar Barr, G., Dong, W. & Gilmore, C. J. (2009). PolySNAP3: a computer program ...
Parallel-coordinates plots
International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2.1, pp. 330-331 [ doi:10.1107/97809553602060000953 ]
... set of 80 organic samples partitioned into four clusters (Barr, Dong & Gilmore, 2009 ). The plot shows that the clustering looks ... the data are examined in six dimensions. References Barr, G., Dong, W. & Gilmore, C. J. (2009). PolySNAP3: a computer program ...
Secondary visualization using parallel coordinates, the grand tour and minimum spanning trees
International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2, pp. 330-331 [ doi:10.1107/97809553602060000953 ]
... set of 80 organic samples partitioned into four clusters (Barr, Dong & Gilmore, 2009 ). The plot shows that the clustering looks ... clustering is actually well defined in all six dimensions (Barr, Dong & Gilmore, 2009 ). 3.8.4.2.3. Powder data as a tree: the ... SIAM J. Sci. Stat. Comput. 6, 128-143.GoogleScholar Barr, G., Dong, W. & Gilmore, C. J. (2009). PolySNAP3: a computer ...
Primary data visualization
International Tables for Crystallography (2019). Vol. H, Section 3.8.4.1, pp. 329-330 [ doi:10.1107/97809553602060000953 ]
... for each individual application (Barr, Cunningham et al., 2009 ; Barr, Dong & Gilmore, 2009 ). References Barr, G., Cunningham, G., Dong, W., Gilmore, C. J. & Kojima, T. (2009). High-throughput ...
Data visualization
International Tables for Crystallography (2019). Vol. H, Section 3.8.4, pp. 329-331 [ doi:10.1107/97809553602060000953 ]
... for each individual application (Barr, Cunningham et al., 2009 ; Barr, Dong & Gilmore, 2009 ). 3.8.4.2. Secondary visualization using parallel coordinates, the ... set of 80 organic samples partitioned into four clusters (Barr, Dong & Gilmore, 2009 ). The plot shows that the clustering looks ... clustering is actually well defined in all six dimensions (Barr, Dong & Gilmore, 2009 ). 3.8.4.2.3. Powder data as a tree: ...
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
International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2.2, p. 331 [ doi:10.1107/97809553602060000953 ]
... clustering is actually well defined in all six dimensions (Barr, Dong & Gilmore, 2009 ). References Asimov, D. (1985). The grand ... SIAM J. Sci. Stat. Comput. 6, 128-143.GoogleScholar Barr, G., Dong, W. & Gilmore, C. J. (2009). PolySNAP3: a computer program ...
Parallel-coordinates plots
International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2.1, pp. 330-331 [ doi:10.1107/97809553602060000953 ]
... set of 80 organic samples partitioned into four clusters (Barr, Dong & Gilmore, 2009 ). The plot shows that the clustering looks ... the data are examined in six dimensions. References Barr, G., Dong, W. & Gilmore, C. J. (2009). PolySNAP3: a computer program ...
Secondary visualization using parallel coordinates, the grand tour and minimum spanning trees
International Tables for Crystallography (2019). Vol. H, Section 3.8.4.2, pp. 330-331 [ doi:10.1107/97809553602060000953 ]
... set of 80 organic samples partitioned into four clusters (Barr, Dong & Gilmore, 2009 ). The plot shows that the clustering looks ... clustering is actually well defined in all six dimensions (Barr, Dong & Gilmore, 2009 ). 3.8.4.2.3. Powder data as a tree: the ... SIAM J. Sci. Stat. Comput. 6, 128-143.GoogleScholar Barr, G., Dong, W. & Gilmore, C. J. (2009). PolySNAP3: a computer ...
Primary data visualization
International Tables for Crystallography (2019). Vol. H, Section 3.8.4.1, pp. 329-330 [ doi:10.1107/97809553602060000953 ]
... for each individual application (Barr, Cunningham et al., 2009 ; Barr, Dong & Gilmore, 2009 ). References Barr, G., Cunningham, G., Dong, W., Gilmore, C. J. & Kojima, T. (2009). High-throughput ...
Data visualization
International Tables for Crystallography (2019). Vol. H, Section 3.8.4, pp. 329-331 [ doi:10.1107/97809553602060000953 ]
... for each individual application (Barr, Cunningham et al., 2009 ; Barr, Dong & Gilmore, 2009 ). 3.8.4.2. Secondary visualization using parallel coordinates, the ... set of 80 organic samples partitioned into four clusters (Barr, Dong & Gilmore, 2009 ). The plot shows that the clustering looks ... clustering is actually well defined in all six dimensions (Barr, Dong & Gilmore, 2009 ). 3.8.4.2.3. Powder data as a tree: ...
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