Numerical classification of proximity data with assignment measures

1985 ◽  
Vol 2 (1) ◽  
pp. 157-172 ◽  
Author(s):  
Michael P. Windham
Keyword(s):  
Numerical Classification ◽  
Proximity Data

Numerical classification of French vegetation of Carici caryophylleae – Genistetea lobelii J.-C. Klein 1972

2021 ◽  
Vol 42 ◽  
pp. e68062
Author(s):  
Pauline Delbosc ◽  
Mathieu Le Dez ◽  
Jean-Bernard Bouzillé ◽  
Kevin Cianfaglione ◽  
Frédéric Bioret
Keyword(s):  
Expert System ◽  
Dominant Species ◽  
Numerical Classification ◽  
Distribution Map ◽  
Diagnostic Species ◽  
Plant Associations ◽  
Formal Definitions ◽  
Twinspan Classification ◽  
New Association

Carici-Genistetea lobelii Klein 1972 corresponds to cyrno-sardinian oromediterranean cushion scrub and related grasslands. In France, this class is only present in Corsica and the syntaxonomic scheme is debated among phytosociologists. The aim of this paper is to highlight the main plant associations of Carici-Genistetea lobelii Klein 1972 and to define the diagnostic species for each phytosociological unit. We compiled 519 vegetation plots and we applied EuropeanVegetationChecklist expert system for the classes of European vegetation to retain only vegetation plots belonging to Carici-Genistetea lobelii. We obtained a dataset with 189 vegetation plots and we classified them with Modified TWINSPAN classification. Our analyses recognized 6 plant associations and 3 sub-associations already described in the literature; and to describe a new alliance corresponding to the supra-mediterranean vegetations (Genistion salzmannii), a new association (Brimeuro fastigiatae-Juniperetum nanae) and its sub-association (alnetosum suaveolentis). For each of them, we identified diagnostic, constant and dominant species and produced their distribution map. Formal definitions were then written for each phytosociological unit (from subassociation to class) and grouped in an expert system to automatically classify the vegetations of Carici-Genistetea lobelii.

Numerical Classification of Thermus Isolates from Globally Distributed Hot Springs

1989 ◽  
Vol 11 (3) ◽  
pp. 250-256 ◽  
Author(s):  
J. Andrew Hudson ◽  
Hugh W. Morgan ◽  
Roy M. Daniel
Keyword(s):  
Hot Springs ◽  
Numerical Classification ◽  
Globally Distributed

Numerical classification of the Pacific forms of Chlorodesmis (Chlorophyta)

1965 ◽  
Vol 13 (3) ◽  
pp. 489 ◽  
Author(s):  
SC Ducker ◽  
WT Williams ◽  
GN Lance
Keyword(s):  
Mixed Data ◽  
Critical Examination ◽  
Numerical Classification ◽  
Control Data ◽  
Green Algal ◽  
The Pacific ◽  
Algal Genus ◽  
Single Genus

The boundaries of the green algal genus Chlorodesmis are ill defined, and the reported species appear to overlap widely. Fourreen specimens of the large-celled (Pacific) forms have been subjected to critical examination; the specimens had previously been ascribed to three genera and eight species. Six characters (one qualitative, three 3-state, and two numerical) have been used; the numerical characters, for which measures of variation are available, have been subjected to a conventional statistical examination, and all six characters have been used in an analysis of the data by means of the mixed-data classificatory programme MULTIST on the Control Data 3600 at Canberra. The results strongly suggest that the specimens are referable to a single genus with only four species: C. caespitosa J. Agardh, C. comosa Harvey & Bailey, C. major Zanardini, and C. bulbosa (Womersley) Ducker.

scholarly journals Comprehensive Numerical Classification of 369 Strains of Mycobacterium, Rhodococcus, and Nocardia

1979 ◽  
Vol 29 (2) ◽  
pp. 110-129 ◽  
Author(s):  
M. TSUKAMURA ◽  
S. MIZUNO ◽  
S. TSUKAMURA ◽  
J. TSUKAMURA
Keyword(s):  
Numerical Classification

Numerical examination of a field classification of some red, yellow and grey earth profiles

Soil Research ◽  
1983 ◽  
Vol 21 (4) ◽  
pp. 343 ◽  
Author(s):  
RJ Coventry ◽  
WT Williams
Keyword(s):  
Three Dimensional ◽  
Soil Classification ◽  
Sampling Interval ◽  
Soil Horizon ◽  
Striking Difference ◽  
Numerical Classification ◽  
Soil Attributes ◽  
Additional Information ◽  
Positive Attribute

Numerical methods have been used to examine an existing and accepted field classification of 48 profiles of red, yellow, and grey earths (mainly Alfisols) from central north Queensland. The three-dimensional soils data (sites by depths by descriptors, which may be mixed in type) were converted to a form which appeared to the computer as a two-dimensional set of profiles by attributes. The soils data were from independent depth intervals, and no assumptions were made about the inter-relationships among soil layers tvithin a profile; nor were the values of any of the soil attributes weighted. In order to consider shallow profiles on the same total depth basis as the deep profiles, the absence of a soil horizon or sampling interval at depth has been regarded as a positive attribute in the numerical classification. Comparison of the traditional field classification and a numerical classification of the same soils dataset showed that certain soil attributes played an important role in both classifications. The most striking difference between them was the relative importance of soil colour attributes, from which it might be argued that field pedologists have assigned to colour a weight out of proportion to its real importance in soil classification. However, this attribute carries additional information about the mineral constituents and hydrological regimes of the soils, and represents information known to, and used by, the field pedologist but not revealed to the computer. The essential subjectivity in the choice of attributes for soil classification is demonstrated.

A mixture model for the classification of three-way proximity data

2006 ◽  
Vol 50 (7) ◽  
pp. 1625-1654 ◽  
Author(s):  
Laura Bocci ◽  
Donatella Vicari ◽  
Maurizio Vichi
Keyword(s):  
Mixture Model ◽  
Proximity Data
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