5096 search results - page 74 / 1020 » Landscape of Clustering Algorithms |
108
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ALT
2009
Springer
16 years 1 months ago
2009
Springer
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
150
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ACL
2008
15 years 5 months ago
2008
We propose using large-scale clustering of dependency relations between verbs and multiword nouns (MNs) to construct a gazetteer for named entity recognition (NER). Since dependen...
187
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KDD
2007
ACM
16 years 4 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
151
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ICDM
2008
IEEE
15 years 11 months ago
2008
IEEE
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
128
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FQAS
2004
Springer
15 years 9 months ago
2004
Springer
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...