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Giorgio Mancini

dblp:342/6342 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
microbiology
0.011991
MCS/SEL/BAS program - an overlapping clustering method with examples from mating type interactions of ciliated protozoa · Comput. Appl. Biosci. 1991
Bioinformatics and computational biology
overlapping clustering
0.011991
MCS/SEL/BAS program - an overlapping clustering method with examples from mating type interactions of ciliated protozoa · Comput. Appl. Biosci. 1991

Methods — techniques the papers use, named apart from their topics

overlapping clustering · 0.0cohesion coefficient · 0.0
YearPublicationVenuePosition
1991 MCS/SEL/BAS program - an overlapping clustering method with examples from mating type interactions of ciliated protozoa
abstract
The MCS/SEL/BAS program provides a method for group recognition, based on a criterion of homogeneity within the groups. The basic aim of this clustering method is not to 'force' data into a number of separate groups, as it allows the possibility that a given element in the data set can be assigned to more than one group. Moreover, a parsimonious path through the groups is sought by selecting groups on the basis of two suitably chosen, peak-ordered criteria. This selection continues until a covering of the data set is obtained (i.e., until each element in the data set is assigned to at least one group). Then relationships occurring among the set of selected groups are investigated by means of two coefficients, called overlapping and cohesion coefficient, respectively. The utility of this program has been demonstrated here in elaborating large sets of data derived from mating type interactions of ciliates, but it can be used also for analyzing data derived from a wide spectrum of compatibility phenomena exhibited by other living organisms. Algorithms of this program are written in BASIC and formulated in a conversational mode for processing on a Macintosh. A computer program (MCS/SEL/BAS) is available from G. Mancini upon request.
Giorgio Mancini, Alessandro Valbonesi
Comput. Appl. Biosci.1