UNSUPERVISED LEARNING TECHNIQUES: CLUSTER ANALYSIS. EXAMPLES WITH MATLAB (ePub)
(Sprache: Englisch)
Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output data so that it can predict future outputs, and unsupervised learning, which finds hidden patterns or intrinsic structures in input data....
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Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output data so that it can predict future outputs, and unsupervised learning, which finds hidden patterns or intrinsic structures in input data. Unsupervised learning finds hidden patterns or intrinsic structures in data. It is used to draw inferences from datasets consisting of input data without labeled responses. Clustering is the most common unsupervised learning technique. It is used for exploratory data analysis to find hidden patterns or groupings in data. Applications for clustering include gene sequence analysis, market research, and object recognition. This book develops cluster analysis techniques.
Bibliographische Angaben
- Autor: César Pérez López
- 2020, Englisch
- Verlag: Lulu.com
- ISBN-10: 1716811872
- ISBN-13: 9781716811876
- Erscheinungsdatum: 22.06.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 4.08 MB
- Ohne Kopierschutz
Sprache:
Englisch
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