In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis. When representing images, the feature values might correspond to the pixels of an image, when representing texts perhaps to term occurrence frequencies.

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dbpprop:abstract
  • In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis. When representing images, the feature values might correspond to the pixels of an image, when representing texts perhaps to term occurrence frequencies. The vector space associated with these vectors is often called the feature space. In order to reduce the dimensionality of the feature space, a number of dimensionality reduction techniques can be employed.
  • Ein Merkmalsvektor fasst die (numerisch) parametrisierbaren Eigenschaften eines Musters in vektorieller Weise zusammen. Verschiedene, für das Muster charakteristische Merkmale bilden die verschiedenen Dimensionen dieses Vektors. Die Gesamtheit der möglichen Merkmalsvektoren nennt man den Merkmalsraum. Merkmalsvektoren erleichtern eine automatische Klassifikation, da sie die zu klassifizierenden Eigenschaften stark reduzieren (statt einem kompletten Bild muss zum Beispiel nur ein Vektor aus 10 Zahlen betrachtet werden). Häufig dienen sie als Eingabe für eine Clusteranalyse.
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  • In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis. When representing images, the feature values might correspond to the pixels of an image, when representing texts perhaps to term occurrence frequencies.
  • Ein Merkmalsvektor fasst die (numerisch) parametrisierbaren Eigenschaften eines Musters in vektorieller Weise zusammen. Verschiedene, für das Muster charakteristische Merkmale bilden die verschiedenen Dimensionen dieses Vektors. Die Gesamtheit der möglichen Merkmalsvektoren nennt man den Merkmalsraum.
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  • Feature vector
  • Merkmalsvektor
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