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WWW
2007
ACM
15 years 10 months ago
2007
ACM
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
AUSDM
2007
Springer
15 years 3 months ago
2007
Springer
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
DMIN
2007
14 years 11 months ago
2007
We study the extraction of characteristics of user behavior in video session encoded as stochastic matrices of finite Markov chain. These behaviors are clustered using a dissimil...
DASFAA
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
IPL
2007
14 years 9 months ago
2007
Computing a suitable measure of consensus among several clusterings on the same data is an important problem that arises in several areas such as computational biology and data mi...