Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Complexity Measures of Supervised Classification Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Using k-d Trees to Improve the Retrieval Step in Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Applying Case Retrieval Nets to Diagnostic Tasks in Technical Domains
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
"Fish and Sink" - An Anytime-Algorithm to Retrieve Adequate Cases
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Distributed case-based reasoning
The Knowledge Engineering Review
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Measuring the Applicability of Self-organization Maps in a Case-Based Reasoning System
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Case retrieval through multiple indexing and heuristic search
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
Expert Systems with Applications: An International Journal
Decision diagrams: fast and flexible support for case retrieval and recommendation
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Unsupervised case memory organization: analysing computational time and soft computing capabilities
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Domain of competence of XCS classifier system in complexity measurement space
IEEE Transactions on Evolutionary Computation
Retrieval Based on Self-explicative Memories
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Integration of a Methodology for Cluster-Based Retrieval in jColibri
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
| Hi-index | 0.00 |
Case retrieval from a clustered case memory consists in finding out the clusters most similar to the new input case, and then retrieving the cases from them. Although the computational time is improved, the accuracy rate may be degraded if the clusters are not representative enough due to data geometry. This paper proposes a methodology for allowing the expert to analyze the case retrieval strategies from a clustered case memory according to the required computational time improvement and the maximum accuracy reduction accepted. The mechanisms used to assess the data geometry are the complexity measures. This methodology is successfully tested on a case memory organized by a Self-Organization Map.