5209 search results - page 81 / 1042 » Multiobjective Data Clustering |
118
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ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
Recent advances in data clustering concern clustering ensembles and projective clustering methods, each addressing different issues in clustering problems. In this paper, we consi...
323
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ICDE
1999
IEEE
16 years 4 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
132
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KDD
2009
ACM
16 years 3 months ago
2009
ACM
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
138
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KDD
2006
ACM
16 years 3 months ago
2006
ACM
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
113
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CIDM
2009
IEEE
15 years 10 months ago
2009
IEEE
– Clustering is an important task in spatial data mining and spatial analysis. We propose a clustering algorithm P-DBSCAN to cluster polygons in space. PDBSCAN is based on the we...