Two Approaches for Discriminant Partial Least Squares

Sabatier, Robert; Vivien, Myrtille; Amenta, Pietro

doi:10.1007/978-3-642-18991-3_12

Cited by 30 publications

(24 citation statements)

References 2 publications

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“…The models were developed using a procedure written in the MATLAB 7.1 R14 environment. PLSDA (Sjöström et al 1986, Sabatier et al 2003, Infantino et al 2015) is a PLS regression (SIMPLS algorithm -De Jong 1993) in which the response variable is categorical, expressing the class membership of the statistical units. The objective of PLSDA is to find a model, developed from a training set of observations of known class membership, that separates classes of objects on the basis of their Xvariables.…”

Section: Discussionmentioning

confidence: 99%

Characterization of VOC emission profile of different wood species during moisture cycles

Sassoli¹,

Taiti²,

Nissim³

et al. 2017

iForest

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This study addresses the characterization of volatile organic compounds (VOCs) emitted by samples of 13 different wood species, belonging to both softwoods and hardwoods groups, regularly measured at different intervals of time, after the first measurement on green wood. The same wood specimens were subjected to several cycles of water desorption and adsorption, assuming that moisture variation might play a role in both the formation and emission of VOCs. Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-TOF-MS) was used as a tool to characterize the emission of VOCs. Coupled with a multivariate class-modelling approach, this tool was able to discriminate between groups (softwood and hardwood) and in some cases between different species. However, results showed that the discriminant capacity of VOCs emission to separate species and families rapidly decreases after the first cycles of moisture variation in wood. The green wood was characterized by a richness of volatile compounds, whereas, after only the first dry cycle, wood emitted a more restricted group of compounds. We hypothesized that most of these VOCs might have originated from structural changes and degradation processes that involve the main polymers (particularly hemicellulose) constituting the cell wall of wooden cells. The results obtained are in agreement with the physical and chemical modification processes that characterize wood ageing.

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Section: Discussionmentioning

confidence: 99%

Characterization of VOC emission profile of different wood species during moisture cycles

Sassoli¹,

Taiti²,

Nissim³

et al. 2017

iForest

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“…PLS (Sjöström 10 et al, 1986;Sabatier et al, 2003;Costa et al, 2011a) is a soft modelling method for constructing predictive models with many and highly co-linear factors.…”

Section: Multivariate Modellingmentioning

confidence: 99%

Automated sorting for size, sex and skeletal anomalies of cultured seabass using external shape analysis

Costa¹,

Antonucci²,

Boglione

et al. 2013

Aquacultural Engineering

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Please cite this article as: Costa, C., Antonucci, F., Boglione, C., Menesatti, P., Vandeputte, M., Chatain, B., Automated sorting for size, sex and skeletal anomalies of cultured seabass using external shape analysis, Aquacultural Engineering (2010Engineering ( ), doi:10.1016Engineering ( /j.aquaeng.2012 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Page 1 of 34 A c c e p t e d M a n u s c r i p t Highlights > Tools for on-line sorting of sea bass based on size, sex and abnormalities was developed. > Tools are based on image analysis and utilizing outline morphometry. > These analyses are combined with the multivariate techniques. > For the size estimation the regression efficiency resulted equal to 0.9772. > The discrimination efficiency for sex and malformation estimation was equal to 82.05% and 88.21% respectively. Highlights (for review)Page 2 of 34 A c c e p t e d M a n u s c r i p t 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 A c c e p t e d M a n u s c r i p t 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 2 AbstractIn aquaculture, automation of fish processing by computer vision could reduce operating costs, improving product quality and profit. Currently fish are mechanically sorted by size, but market constraints require that externally malformed fish be removed as well.Additionally fish farmers screen for sex, in order to exploit the higher growth potential of females. The aim of this study was the development of methodological tools applicable to Squares Discriminant Analysis models used to select sex and malformed fish also returned high discrimination efficiencies (82.05% and 88.21%, respectively). The implementation of a similar approach within an on-line sorting machine would allow for real-time live fish processing.

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“…PLS Discriminant Analysis (PLSDA; Sjöström et al, 1986;Sabatier et al, 2003) was used to construct a model explaining the co-variation between otolith shapes, as expressed by EFA coefficients for S and L size classes (x-block), and the different sample sites (y-block). y-block classes were represented by a set of dummy variables describing the different samples (for methodological details see Menesatti et al, 2008;Costa et al, 2008Costa et al, , 2010.…”

Section: Inter-stock Analysismentioning

confidence: 99%

Ontogenetic and environmental effects on otolith shape variability in three Mediterranean European eel (Anguilla anguilla, L.) local stocks

Capoccioni

Costa²,

Aguzzi

et al. 2011

Journal of Experimental Marine Biology and Ecology

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Otolith morphology is an efficient tool for the discrimination of fish stocks, populations and species when comparative genetic data are not available. Currently, the relationship between environmental factors and otolith shape is poorly characterized for the European eel (Anguilla anguilla), a highly migratory catadromous species constituting a single, randomly mating stock. The present study analyses the differences in otolith morphology between three Mediterranean eel local stocks from different environmental contexts (i.e. two brackish lagoons and one river). The relationship between otolith shape and otolith size was studied by means of Elliptic Fourier analysis and multivariate statistics. Otolith profile was digitally acquired and Cartesian coordinates were extracted. Partial Least Square (PLS) analysis pointed to continuous allometric growth in size and shape in otoliths from all three sites. In the three environments, shape variations occurred during growth as indicated by the presence of a significant and positive relationship between otolith size and the first PLS latent vector (i.e. which bears most of the information regarding otolith outline). Differences between smaller and larger sized otoliths were investigated using PLS Discriminant Analysis (PLSDA) and cluster analysis. Results indicate that otolith shape is highly uniform at smaller than at larger sizes. These shape differences apparently overlap the initial differentiation of the small otolith outlines acquired by eels during the growing phase as elvers in the marine environment. Data were discussed considering that the physical and chemical habitat variability in brackish lagoons and river could underlie a marked change in otolith shape during the animals' growth.

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Two Approaches for Discriminant Partial Least Squares

Cited by 30 publications

References 2 publications

Characterization of VOC emission profile of different wood species during moisture cycles

Characterization of VOC emission profile of different wood species during moisture cycles

Automated sorting for size, sex and skeletal anomalies of cultured seabass using external shape analysis

Ontogenetic and environmental effects on otolith shape variability in three Mediterranean European eel (Anguilla anguilla, L.) local stocks

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