Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Virtual Screening for Bioactive Molecules
Virtual Screening for Bioactive Molecules
Metric Rule Generation with Septic Shock Patient Data
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A Neuro-fuzzy Based Alarm System for Septic Shock Patients with a Comparison to Medical Scores
ISMDA '02 Proceedings of the Third International Symposium on Medical Data Analysis
Discriminative Power of Input Features in a Fuzzy Model
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
The BANG-Clustering System: Grid-Based Data Analysis
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Adaptive Modeling of Biochemical Pathways
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Artificial Intelligence in Medicine
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Classification, clustering and rule generation are important tasks in multidimensional data analysis. The combination of clustering or classification with rule generation gives an explanation for the achieved results. Especially in life science applications experts are interested in explanations to understand the underlying data. The usage of supervised neuro-fuzzy systems is a suitable approach for this combined task. Not always classification labels are available for the data when considering new problem areas in life science. Since we had already used a supervised neuro-fuzzy system for some applications, our aim in the case studies was to use the same neuro-fuzzy classifier for clustering, generating understandable rules also for clusters. To do so, we added Monte-Carlo random data to the original data and performed the clustering task with the present classifier in the medical, chemical, and biological domain.