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Clustering procedures (as well as many other mathematical techniques) can be viewed as methods for extracting globally relevant features from locally ...
In an affine clustering model, the information that is being sought is gathered in terms of a cluster system (i.e., a collection of subsets, called clusters, of ...
In this note, cluster theory is presented from a rather abstract point of view, basic known results are reviewed from this view point, and some new results ...
About this item. Title: Towards a theory of holistic clustering; Content partner: University of Canterbury Library; Collection: UC Research Repository ...
We define a clustering function as one that satisfies a set of axioms. This is often termed as an axiomatic framework. Functions that satisfy the basic axioms.
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Aug 30, 2017 · Our clustering approach provides a compact and fused representation of entities, and can identify errors in existing links as well as many new ...
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As an active research topic in the field of schema integration, holistic schema matching tackles the challenge of matching large scale schema. Matching the ...
Clustering is a central unsupervised learning task with a wide variety of applications. Unlike in supervised learning, different clustering algorithms may ...
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Abstract. Pairwise link discovery approaches for the Web of Data do not scale to many sources thereby limiting the potential for data integration.
We thus propose a holistic approach for linking many data sources based on a clustering of entities representing the same real-world object. Our clustering ...
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