 PATTERN
RECOGNITION ALGORHYTHMS
The Pattern Recognition goal is
that to study systems to extract
all the informations that characterise
the data. This field integrates
and uses the discriminant analysis,
the features extraction and the
cluster analysis.
In the Pattern Recognition algorhythms
development are largely used the
mathematics, the statistic and the
neural networks.
BioAge
have the use of skilled researchers
who have one remarkable experience
in this field and who have participated
to european and national research
projects, who have developed Pattern
Recognition algorhythms in the industrial
automation field and in the medical-biological
one.
Algorithms have been developed in
the biomedical field for the automatic
recognition of the DNA micro array
chips spots and for the automatic
recognition of shapes and dimensions
of human vertebras images acquired
by X ray. h
DATA
ANALISYS AND PROCESSING
The data processing has a fundamental
importance to comprise the outcome
of a scientific research, the experimental
data are understanded by the synthesis
of mathematical models as the individuation
of meaningful correlations, the estimation
of the uncertain parameters, the forecasting,
the statistical analysis, etc. etc.
BioAge can help you to planning a
Design Of Experiments (D.O.E.) and
to analizing the data from the statistical
point of view.
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