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» Characteristic-Based Clustering for Time Series Data
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CVPR
2003
IEEE
14 years 10 months ago
Discovering Clusters in Motion Time-Series Data
Jonathan Alon, Stan Sclaroff, George Kollios, Vlad...
IJON
2008
128views more  IJON 2008»
13 years 8 months ago
Independent arrays or independent time courses for gene expression time series data analysis
In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene exp...
Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi
KDD
1999
ACM
117views Data Mining» more  KDD 1999»
14 years 26 days ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates
ISNN
2011
Springer
12 years 11 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
14 years 1 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel