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… (More)
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CategorizationCategory utilityCluster analysisConceptual system
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Papers overview

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Highly Cited
2006
Highly Cited
2006
Modeling user interests by conceptual clustering
RE CT ED P RO Abstract As more information becomes available on the Web, there has been a crescent interest in effective… (More)
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Highly Cited
1999
Highly Cited
1999
Adaptive Web Sites: Conceptual Cluster Mining
The creation of a complex web site is a thorny problem in. user interface design. In I J C A I '97, we challenged the AI… (More)
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Highly Cited
1998
Highly Cited
1998
A corpus-based conceptual clustering method for verb frames and ontology
We describe in this paper the ML system, ASIUM, which learns subcategorization frames of verbs and ontologies from syntactic… (More)
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Highly Cited
1997
Highly Cited
1997
Efficient Feature Selection in Conceptual Clustering
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing… (More)
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Highly Cited
1997
Highly Cited
1997
BIRCH: A New Data Clustering Algorithm and Its Applications
Data clustering is an important technique for exploratory data analysis, and has been studied for several years. It has been… (More)
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Highly Cited
1996
Highly Cited
1996
A lattice conceptual clustering system and its application to browsing retrieval
The theory of concept (or Galois) lattices provides a simple and formal approach to conceptual clustering. In this paper we… (More)
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Highly Cited
1993
Highly Cited
1993
GALOIS: An Order-Theoretic Approach to Conceptual Clustering
The theory of concept (or Galois) lattices provides a natural and formal setting in which to discover and represent concept… (More)
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Highly Cited
1989
Highly Cited
1989
Conceptual clustering, categorization, and polymorphy
In this paper we describeWitt, a computational model of categorization and conceptual clustering that has been motivated and… (More)
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Highly Cited
1987
Highly Cited
1987
Knowledge Acquisition Via Incremental Conceptual Clustering
Conceptual clustering is an important way of summarizing and explaining data. However, the recent formulation of this paradigm… (More)
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Highly Cited
1983
Highly Cited
1983
Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy
A method for automated construction of classifications called conceptual clustering is described and compared to methods used in… (More)
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