Clustering based on conditional distributions in an auxiliary space
Neural Computation
Discriminative Clustering: Optimal Contingency Tables by Learning Metrics
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Clustering Gene Expression Data by Mutual Information with Gene Function
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Learning More Accurate Metrics for Self-Organizing Maps
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Generalized relevance learning vector quantization
Neural Networks - New developments in self-organizing maps
Principle of Learning Metrics for Exploratory Data Analysis
Journal of VLSI Signal Processing Systems
Supervised Neural Gas with General Similarity Measure
Neural Processing Letters
On the Generalization Ability of GRLVQ Networks
Neural Processing Letters
Recursive self-organizing network models
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Improved learning of Riemannian metrics for exploratory analysis
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Fuzzy classification by fuzzy labeled neural gas
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Internet-based remote supervision of industrial processes using self-organizing maps
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks
Decision Support Systems
Predictive model of insolvency risk for Australian corporations
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A binary classification method for bankruptcy prediction
Expert Systems with Applications: An International Journal
Learning vector quantization with adaptive prototype addition and removal
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Patient stratification with competing risks by multivariate fisher distance
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Neurocomputing
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
The Journal of Machine Learning Research
Predicting financial distress: a case study using self-organizing maps
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
A SOM and GP tool for reducing the dimensionality of a financial distress prediction problem
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Learning manifolds for bankruptcy analysis
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Different methodologies for patient stratification using survival data
CIBB'09 Proceedings of the 6th international conference on Computational intelligence methods for bioinformatics and biostatistics
Self-organizing multilayer perceptron
IEEE Transactions on Neural Networks
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
A computational intelligence scheme for the prediction of the daily peak load
Applied Soft Computing
Perspectives of self-adapted self-organizing clustering in organic computing
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
A general framework for dimensionality-reducing data visualization mapping
Neural Computation
Evaluation of banks insolvency using artificial neural networks
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Optimized distance metrics for differential evolution based nearest prototype classifier
Expert Systems with Applications: An International Journal
Discriminative dimensionality reduction mappings
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Expert Systems with Applications: An International Journal
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We introduce a method for deriving a metric, locally based on the Fisher information matrix, into the data space. A self-organizing map (SOM) is computed in the new metric to explore financial statements of enterprises. The metric measures local distances in terms of changes in the distribution of an auxiliary random variable that reflects what is important in the data. In this paper the variable indicates bankruptcy within the next few years. The conditional density of the auxiliary variable is first estimated, and the change in the estimate resulting from local displacements in the primary data space is measured using the Fisher information matrix. When a self-organizing map is computed in the new metric it still visualizes the data space in a topology-preserving fashion, but represents the (local) directions in which the probability of bankruptcy changes the most