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

Semantic Scholar uses AI to extract papers important to this topic.

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…

1999

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

1998

Vast amount of research in machine learning has focused on creating new algorithms stemming from reenements to existing learning…

1992

1 Introduct ion In object-oriented database systems, it is assumed silently that fundamental object types and inter-object…

1989

1989

1987

One essential problem in reusability is classifying the reusable components. The library must be structured to facilitate the…

1987

Conceptual clustering enhances the value of existing databases by revealing patterns in the data. These patterns may be useful…

1986

Work in conceptual clustering has focused on creating classes from objects with a fixed set of features, such as color or size…