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Learning good prototypes for classification using filtering and abstraction of instances

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Publication:1601566
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DOI10.1016/S0031-3203(01)00131-5zbMath1016.68090OpenAlexW2052233382MaRDI QIDQ1601566

R. Smith

Publication date: 27 June 2002

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(01)00131-5


zbMATH Keywords

machine learninginstance-based learningprototype generation and filtering


Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)


Related Items (4)

Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier ⋮ GEOMETRIC PROXIMITY GRAPHS FOR IMPROVING NEAREST NEIGHBOR METHODS IN INSTANCE-BASED LEARNING AND DATA MINING ⋮ A class boundary preserving algorithm for data condensation ⋮ A novel gray-based reduced NN classification method


Uses Software

  • UCI-ml
  • C4.5


Cites Work

  • Unnamed Item
  • Unnamed Item
  • Refinements to nearest-neighbor searching in k-dimensional trees
  • Reduction techniques for instance-based learning algorithms
  • Finding Prototypes For Nearest Neighbor Classifiers


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