15 search results - page 1 / 3 » Multi-assignment clustering for Boolean data |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
ICDE
1999
IEEE
14 years 6 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...
SIGMOD
2007
ACM
14 years 5 months ago
2007
ACM
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...
IDA
2006
Springer
13 years 4 months ago
2006
Springer
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...