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Sneath, P.H.A. (1980) Basic program for determining the best identification scores possible from the most typical examples when compared with an identification matrix of percent positive characters. Computers & Geosciences, 6 (1) 27-34 doi:10.1016/0098-3004(80)90005-9

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Reference TypeJournal (article/letter/editorial)
TitleBasic program for determining the best identification scores possible from the most typical examples when compared with an identification matrix of percent positive characters
JournalComputers & Geosciences
AuthorsSneath, P.H.A.Author
Year1980 (January)Volume6
Issue1
PublisherElsevier BV
DOIdoi:10.1016/0098-3004(80)90005-9Search in ResearchGate
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Mindat Ref. ID445013Long-form Identifiermindat:1:5:445013:3
GUID0
Full ReferenceSneath, P.H.A. (1980) Basic program for determining the best identification scores possible from the most typical examples when compared with an identification matrix of percent positive characters. Computers & Geosciences, 6 (1) 27-34 doi:10.1016/0098-3004(80)90005-9
Plain TextSneath, P.H.A. (1980) Basic program for determining the best identification scores possible from the most typical examples when compared with an identification matrix of percent positive characters. Computers & Geosciences, 6 (1) 27-34 doi:10.1016/0098-3004(80)90005-9
In(1980, January) Computers & Geosciences Vol. 6 (1) Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Sneath, P.H.A. (1980) Basic program for the most diagnostic properties of groups from an identification matrix of percent positive characters. Computers & Geosciences, 6 (1) 21-26 doi:10.1016/0098-3004(80)90004-7
Sneath, P.H.A (1980) Basic program for determining overlap between groups in an identification matrix of percent positive characters. Computers & Geosciences, 6 (3) 267-278 doi:10.1016/0098-3004(80)90033-3
Sneath, P.H.A. (1979) Basic program for identification of an unknown with presence-absence data against an identification matrix of percent positive characters. Computers & Geosciences, 5 (2) 195-213 doi:10.1016/0098-3004(79)90005-0
Sneath, P.H.A. (1979) Basic program for character separation indices from an identification matrix of percent positive characters. Computers & Geosciences, 5 (3) 349-357 doi:10.1016/0098-3004(79)90030-x
Sneath, P.H.A., Sackin, M.J. (1979) Basic program for printing a coding sheet for unknowns that are to be identified against an identification matrix of percent positive characters. Computers & Geosciences, 5 (3) 359-367 doi:10.1016/0098-3004(79)90031-1
Sneath, P.H.A. (1979) Numerical taxonomy and automated identification: some implications for geology. Computers & Geosciences, 5 (1) 41-46 doi:10.1016/0098-3004(79)90017-7
Sneath, P.H.A. (1979) BASIC program for a significance test for clusters in UPGMA dendrograms obtained from squared Euclidean distances. Computers & Geosciences, 5 (1) 127-137 doi:10.1016/0098-3004(79)90020-7
Sneath, P.H.A. (1985) DENBRAN: A basic program for a significance test for multivariate normality of clusters from branching patterns in dendrograms. Computers & Geosciences, 11 (6) 767-785 doi:10.1016/0098-3004(85)90016-0
Sneath, P.H.A. (1979) Basic program for nonparametric significance of overlap between a pair of clusters using the Kolmogorov-Smirnov test. Computers & Geosciences, 5 (2) 173-188 doi:10.1016/0098-3004(79)90003-7
Sneath, P.H.A., Langham, C.D. (1989) OUTLIER: a BASIC program for detecting outlying members of multivariate clusters based on presence-absence data. Computers & Geosciences, 15 (6) 939-964 doi:10.1016/0098-3004(89)90006-x
Sneath, P.H.A (1979) Basic program for a significance test for two clusters in euclidean space as measured by their overlap. Computers & Geosciences, 5 (2) 143-155 doi:10.1016/0098-3004(79)90001-3
 
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