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Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms.
A. Acevedo
Sara Ciucci
M. J. Kuo
Claudio Durán
Carlo V. Cannistraci
Published in:
CoRR (2019)
Keyphrases
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pattern recognition
machine learning
vector space
learning algorithm
theoretical analysis
orders of magnitude
significant improvement
evaluation measures
evaluation method
neural network
information retrieval
feature extraction
low dimensional
benchmark datasets
evaluation metrics