Instance-based Classification
Instance-Based Classification is a time series classification approach that belongs to the family of lazy learning methods, wherein classification is performed by directly comparing a query instance to stored labeled instances using a similarity or distance metric, without constructing an explicit generalization model.
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2017–2026
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Reduction Techniques for Instance-Based Learning Algorithms
D.R. Wilson, Tony Martinez · Machine Learning · 2000 · 1.2K citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
7 h-index
17 publications
741 citations
University of Córdoba
Córdoba, Spain
7 h-index
18 publications
946 citations

Universidad de Granada
Granada, Spain
6 h-index
16 publications
622 citations
Brigham Young University
Provo, United States
6 h-index
10 publications
161 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
10 publications
537 citations
University of Technology Sydney
Sydney, Australia
4 h-index
8 publications
441 citations
University of California, Irvine
Irvine, United States
4 h-index
8 publications
767 citations
Philipps University of Marburg
Marburg, Germany
4 h-index
8 publications
639 citations
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IDA · 9 publications · 667 citations
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8 publications · 251 citations
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7 publications · 482 citations
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Repository · 7 publications · 287 citations
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6 publications · 723 citations
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