2,684
edits
XSCALE ISOCLUSTER: Difference between revisions
Jump to navigation
Jump to search
→Notes
No edit summary |
(→Notes) |
||
| Line 65: | Line 65: | ||
* For meaningful results, the number of known values (N*(N-1)/2 is the number of pairwise correlation coefficients) should be (preferrably much) higher than the number of unknowns (1+n*(N-1)). This means that one needs at least 5 datasets if dim=2, and at least 7 if dim=3. | * For meaningful results, the number of known values (N*(N-1)/2 is the number of pairwise correlation coefficients) should be (preferrably much) higher than the number of unknowns (1+n*(N-1)). This means that one needs at least 5 datasets if dim=2, and at least 7 if dim=3. | ||
* The clustering of datasets in a low-dimensional space uses the method of Rodriguez and Laio (2014) ''Science'' '''344''', 1492-1496. | * The clustering of datasets in a low-dimensional space uses the method of Rodriguez and Laio (2014) ''Science'' '''344''', 1492-1496. | ||
* A different but related program is [[xds_nonisomorphism]]. | * A different but related program is [[xds_nonisomorphism]]. | ||