Problems in pattern classification in high dimensional spaces: Behavior of a class of combined neuro-fuzzy classifiers

DOI10.1016/S0165-0114(01)00180-4zbMath1002.68550OpenAlexW2068953995MaRDI QIDQ698746

Jihene El Malek, Rached Tourki, Adel M. Alimi

Publication date: 30 September 2002

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(01)00180-4

zbMATH Keywords

Computational complexityDimensionalityFuzzy classifierk-NN classifierNeural classifierNeuro-fuzzy classifierPeaking phenomenonTraining sample size

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

Cites Work

• Self-organization and associative memory
• On the optimal number of features in the classification of multivariate Gaussian data
• Abstraction and pattern classification
• Bias of Nearest Neighbor Error Estimates
• On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition
• Statistical Properties of Error Estimators in Performance Assessment of Recognition Systems
• Mathematical methods of feature selection in pattern recognition
• On the Effects of Dimension in Discriminant Analysis
• Patterns in pattern recognition: 1968-1974
• Quantization Complexity and Independent Measurements
• A new approach to clustering
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
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