5880 search results - page 111 / 1176 » Data Clustering: A Review |
EDBT
2004
ACM
14 years 8 months ago
2004
ACM
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
ICDS
2009
IEEE
14 years 2 months ago
2009
IEEE
—In a wireless sensor network application for tracking multiple mobile targets, large amounts of sensing data can be generated by a number of sensors. These data must be controll...
APWEB
2006
Springer
13 years 11 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
CIMCA
2005
IEEE
14 years 1 months ago
2005
IEEE
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
PAKDD
2010
ACM
14 years 18 days ago
2010
ACM
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...