TERMIUM Plus^®

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An instance is a single, complete observation or data point in your dataset. It's one row in your spreadsheet, one customer in your database, or one photograph in your image collection. Each instance contains a set of features, which are the individual characteristics or measurements that describe that observation.  3, fiche 1, Anglais, - example

Fiche 1,  Justifications,  Français

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[...] un exemple est une collection de caractéristiques qui ont été mesurées quantitativement à partir d'un objet ou un évènement à traiter [...]  3, fiche 1, Français, - exemple

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Fiche 2,  Justifications,  Anglais

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... a single data point in the dataset that dramatically deviates from all the other data points.  2, fiche 2, Anglais, - outlier

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Fiche 3,  Justifications,  Anglais

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Data labels are text elements that describe individual data points.  2, fiche 3, Anglais, - data%20label

Record number: 3, Textual support number: 2 CONT

Data labels serve as the fundamental elements that bridge the gap between raw data and meaningful insights. When working with a dataset, each data point may possess certain inherent characteristics, such as features, attributes, or properties. Data labels serve as the fundamental elements that bridge the gap between raw data and meaningful insights. When working with a dataset, each data point may possess certain inherent characteristics, such as features, attributes, or properties.  3, fiche 3, Anglais, - data%20label

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Fiche 4,  Justifications,  Anglais

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A common measure of the density of a lidar [light detection and ranging] dataset... NPS the typical or average lateral distance between pulses in a lidar dataset, typically expressed in meters and most simply calculated as the square root of the average area per first return point. This value is predicted in mission planning and empirically calculated from the collected data, using only the first(or last) return points as surrogates for pulses... The term NPS is more commonly used in low-density collections(greater than or equal to 1 meter NPS) with its inverse, nominal pulse density(NPD), being used in high-density collections(less than 1 meter NPS).  2, fiche 4, Anglais, - nominal%20pulse%20spacing

Fiche 4,  Justifications,  Français

Record number: 4, Textual support number: 1 CONT

La densité de points LiDAR recueillis est fonction des paramètres de vol, des réglages du capteur, du nombre maximal de retours (points) par impulsion LiDAR et des caractéristiques de la couverture terrestre qui font l’objet des levés. Dans le présent document, l’espacement nominal des impulsions se rapporte précisément aux impulsions et non aux points.  1, fiche 4, Français, - espacement%20nominal%20des%20impulsions

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Fiche 5,  Justifications,  Anglais

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A dataset that is used as a reference point for comparison and analysis.  1, fiche 5, Anglais, - baseline%20dataset

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Fiche 7,  Justifications,  Anglais

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Factor scores ... need to be weighted. Otherwise, the variables which have high loadings on less important factors will have the same impact in the cluster analysis as variables which load highly on important factors.  1, fiche 7, Anglais, - load%20highly

Record number: 7, Textual support number: 2 CONT

The PCA [principal component analysis] was applied to the 240 weather variables for all days within the winter season from 1958/59 to 2000/2001 for 15 Canadian and 12 U. S. stations, producing an 18-component solution that explains 91% of the total variance in the original dataset. The remainder of the components with eigenvalues less than one were discarded. The thermal and moisture variables, air temperature and dew point temperature, load highly on Component 1, explaining over 36% of the total variance.  2, fiche 7, Anglais, - load%20highly

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See also the record for "component loading" for more information on the concept of statistical loading.  3, fiche 7, Anglais, - load%20highly

Fiche 7,  Justifications,  Français

Record number: 7, Textual support number: 1 CONT

L'utilisation de la corrélation ou de la régression [...] informe [...] du comportement de deux ou plus variables entre elles. [...] Seront retenues les variables qui montrent un lien suffisant avec la variable dépendante. (Par exemple celles qui ont un fort coefficient de corrélation ou une signification statistique convenable.)  1, fiche 7, Français, - avoir%20un%20fort%20coefficient%20de%20corr%C3%A9lation

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Dans les analyses en composantes principales on parle des «coordonnées», du «poids» ou des «coefficients» des variables pour rendre la notion de «loading». Voir la fiche «component loading» pour obtenir plus de renseignements sur cette notion.  2, fiche 7, Français, - avoir%20un%20fort%20coefficient%20de%20corr%C3%A9lation

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Fiche 8,  Justifications,  Anglais

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A command given if closed incremental or point to point lines are measured.  1, fiche 8, Anglais, - island%20closure

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The program adds the very first point as the last point of the dataset after the operator has moved the measuring tool closely enough to the starting point.  1, fiche 8, Anglais, - island%20closure

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