Conceptual clustering

Known as: Conceptual, Incremental concept formation

Conceptual clustering is a machine learning paradigm for unsupervised classification developed mainly during the 1980s. It is distinguished from…

Papers overview

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2007

Ontology is an important tool of knowledge representation, but its construction is a difficult and tedious task. Ontology…

2005

Case-based object recognition requires a general case of the object that should be detected. Real world applications such as the…

2004

Research in cluster analysis has resulted in a large number of algorithms and similarity measurements for clustering scientific…

Highly Cited

2001

Highly Cited

2001

Conceptual graphs allow for powerful and computationally affordable representation of the semantic contents of natural language…

1999

Predictive modeling, i.e., predicting unknown values of certain attributes of interest based on the values of other attributes…

1996

Conceptual clustering is used to organize observations into an abstract hierarchy which can be used to predict classes and/or…

1993

1991

In most research on concept formation within machine learning and cognitive psychology, the features from which concepts are…

1991

1986

A summary of this author’s current research on conceptual clustering of structured objects is presented along with some avenues…