Iterative Optimization and Simplification of Hierarchical Clusterings
نویسندگان
چکیده
منابع مشابه
Iterative Optimization and Simplification of Hierarchical Clusterings
Clustering is often used for discovering structure in data. Clustering systems diier in the objective function used to evaluate clustering quality and the control strategy used to search the space of clusterings. Ideally, the search strategy should consistently construct clusterings of high quality, but be computationally inexpensive as well. In general, we cannot have it both ways, but we can ...
متن کاملOptimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to search the space of clusterings. In general, a search strategy cannot both (1) consistently construct clusterings of high quality and (2) be computationally inexpensive. However, we can partition the search so that a sys...
متن کاملIterative Optimization and Simpliication of Hierarchical Clusterings
Clustering is often used for discovering structure in data. Clustering systems diier in the objective function used to evaluate clustering quality and the control strategy used to search the space of clusterings. Ideally, the search strategy should consistently construct clusterings of high quality, but be computationally inexpensive as well. In general, we cannot have it both ways, but we can ...
متن کاملIterative Optimization and Simpli cation of Hierarchical Clusterings
Clustering is often used for discovering structure in data. Clustering systems di er in the objective function used to evaluate clustering quality and the control strategy used to search the space of clusterings. Ideally, the search strategy should consistently construct clusterings of high quality, but be computationally inexpensive as well. In general, we cannot have it both ways, but we can ...
متن کاملLearning Multiple Hierarchical Relational Clusterings
Three important generalizations of the basic clustering problem are relational, hierarchical, and multiple clustering. This paper proposes the first approach to clustering that unifies all three. We describe a general probabilistic model for relational clustering, and show that flat, hierarchical and multiple relational clustering models are special cases. This paper also describes an efficient...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 1996
ISSN: 1076-9757
DOI: 10.1613/jair.276