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EDBT
2004
ACM
16 years 24 days ago
2004
ACM
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
85
Voted
ISBI
2004
IEEE
16 years 1 months ago
2004
IEEE
We present a novel approach, clustering on local image profiles, for statistically characterizing image intensity in object boundary regions. In deformable model segmentation, a d...
131
Voted
SIGMOD
2004
ACM
16 years 25 days ago
2004
ACM
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
104
Voted
AINA
2004
IEEE
15 years 4 months ago
2004
IEEE
With the rapid growth of information stored in worldwide web servers, searching and capturing data on Internet become a common behavior for us. In order to increase the availabili...
90
Voted
ACSW
2004
15 years 2 months ago
2004
This paper analyzes the clustering of trades on the Australian Stock Exchange (ASX) with respect to the trade direction variable. The ASX is a limit order market operating an elec...