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Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
An experimental study of concept formation
An experimental study of concept formation
Clustering Binary Fingerprint Vectors with Missing Values for DNA Array Data Analysis
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
A Grey-Based Nearest Neighbor Approach for Missing Attribute Value Prediction
Applied Intelligence
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Categorization with a very high missing data rate is seldom studied, especially from a non-probabilistic point of view. This paper proposes a new algorithm called default clustering that relies on default reasoning and uses the local search paradigm. Two kinds of experiments are considered: the first one presents the results obtained on artificial data sets, the second uses an original and real case where political stereotypes are extracted from newspaper articles at the end of the 19th century.