A Test to Determine the Multivariate Normality of a Data Set
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Complexity Measures of Supervised Classification Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature subset selection using a new definition of classifiability
Pattern Recognition Letters
Pretopological Approach for Supervised Learning
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
On the Nonlinearity of Pattern Classifiers
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Multiresolution Estimates of Classification Complexity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nearest Neighbor Search: A Database Perspective
Nearest Neighbor Search: A Database Perspective
Data complexity assessment in undersampled classification of high-dimensional biomedical data
Pattern Recognition Letters
An analysis of how training data complexity affects the nearest neighbor classifiers
Pattern Analysis & Applications
Pattern Classifier Design by Linear Programming
IEEE Transactions on Computers
Data Complexity Analysis: Linkage between Context and Solution in Classification
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Machine Learning and Data Mining: Introduction to Principles and Algorithms
Machine Learning and Data Mining: Introduction to Principles and Algorithms
The Top Ten Algorithms in Data Mining
The Top Ten Algorithms in Data Mining
Performance evaluation for classification methods: A comparative simulation study
Expert Systems with Applications: An International Journal
A fast computation of inter-class overlap measures using prototype reduction schemes
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Mapping classifiers and datasets
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Intelligent Systems, Design and Applications (ISDA 2009)
Data characterization for effective prototype selection
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Linear separability and classification complexity
Expert Systems with Applications: An International Journal
Domain of competence of XCS classifier system in complexity measurement space
IEEE Transactions on Evolutionary Computation
Classifiability-based omnivariate decision trees
IEEE Transactions on Neural Networks
Domains of competence of the semi-naive Bayesian network classifiers
Information Sciences: an International Journal
Hi-index | 12.05 |
The study of data complexity metrics is an emergent area in the field of data mining and is focused on the analysis of several data set characteristics to extract knowledge from them. This information can be used to support the election of the proper classification algorithm. This paper addresses the analysis of the relationship between data complexity measures and classifiers behavior. Each one of the metrics is evaluated covering its range of values and studying the classifiers accuracy on these values. The results offer information about the usefullness of these measures, and which of them allow us to analyze the nature of the input data set and help us to decide which classification method could be the most promising one.