179 search results - page 22 / 36 » Time series clustering based on forecast densities |
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COMPGEOM
2011
ACM
14 years 1 months ago
2011
ACM
We present a clustering scheme that combines a mode-seeking phase with a cluster merging phase in the corresponding density map. While mode detection is done by a standard graph-b...
BMCBI
2010
14 years 10 months ago
2010
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
AAAI
2008
15 years 2 days ago
2008
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...
SRDS
2007
IEEE
15 years 4 months ago
2007
IEEE
Networked computing systems continue to grow in scale and in the complexity of their components and interactions. Component failures become norms instead of exceptions in these en...
AMC
2005
14 years 9 months ago
2005
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...