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 Results for DC.creator="W." AND DC.creator="Dong" in section 3.8.3 of volume H
Cluster analysis
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.3, pp. 327-329 [ doi:10.1107/97809553602060000953 ]
... further examples see Barr et al. (2004b ,c ) and Barr, Dong, Gilmore & Faber (2004) .] 3.8.3.2. Estimating the number of clusters ... 1974 ) (CH) test: A centroid is defined for each cluster. W denotes the total within-cluster sum of squared distances about ... 1985 ). This chooses the value of c that minimizes W(c) is the sum of all the within-cluster ...

The most representative sample
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.3.6, p. 329 [ doi:10.1107/97809553602060000953 ]
... phases (Barr et al., 2004 b). References Barr, G., Dong, W. & Gilmore, C. J. (2004a). High-throughput powder diffraction. II. ...

Choice of clustering method
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.3.5, p. 329 [ doi:10.1107/97809553602060000953 ]
... values of S. In the algorithm used in PolySNAP (Barr, Dong & Gilmore, 2009 ) and DIFFRAC.EVA (Bruker, 2018 ), the sphere size depends ... use (Barr et al., 2004 b). References Barr, G., Dong, W. & Gilmore, C. J. (2004a). High-throughput powder diffraction. ...

Principal-component analysis
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.3.4, p. 329 [ doi:10.1107/97809553602060000953 ]
Principal-component analysis 3.8.3.4. Principal-component analysis It is also possible to carry out principal-component analysis (PCA) on the correlation matrix. The eigenvalues of the correlation matrix can be used to estimate the number of clusters present via a scree plot, as shown in Fig. 3.8.2 (a), and the eigenvectors ...

Metric multidimensional scaling
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.3.3, pp. 328-329 [ doi:10.1107/97809553602060000953 ]
Metric multidimensional scaling 3.8.3.3. Metric multidimensional scaling This is, in its essentials, the particle-in-a-box problem. Each powder pattern is represented as a single sphere, and these spheres are placed in a cubic box of unit dimensions such that the positions of the spheres reproduce as closely as possible ...

Estimating the number of clusters
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.3.2, pp. 327-328 [ doi:10.1107/97809553602060000953 ]
... 1974 ) (CH) test: A centroid is defined for each cluster. W denotes the total within-cluster sum of squared distances about ... 1985 ). This chooses the value of c that minimizes W(c) is the sum of all the within-cluster dissimilarities. ... linkage 5 C statistic using complete linkage - References Barr, G., Dong, W. & Gilmore, C. J. (2004a). High-throughput powder ...

Dendrograms
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.3.1, p. 327 [ doi:10.1107/97809553602060000953 ]
... further examples see Barr et al. (2004b ,c ) and Barr, Dong, Gilmore & Faber (2004) .] References Barr, G., Dong, W. & Gilmore, C. J. (2004a). High-throughput powder diffraction. ...

Amorphous samples
Gilmore, C. J., Barr, G. and Dong, W.  International Tables for Crystallography (2019). Vol. H, Section 3.8.3.7, p. 329 [ doi:10.1107/97809553602060000953 ]
... of amorphous content, which further complicates matters. References Barr, G., Dong, W. & Gilmore, C. J. (2004a). High-throughput powder diffraction. II. ...

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