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» On Clustering Multimedia Time Series Data Using K-Means and ...
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KDD
2000
ACM
168views Data Mining» more  KDD 2000»
13 years 9 months ago
Scaling up dynamic time warping for datamining applications
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
Eamonn J. Keogh, Michael J. Pazzani
DATAMINE
2006
176views more  DATAMINE 2006»
13 years 6 months ago
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
Clipping is the process of transforming a real valued series into a sequence of bits representing whether each data is above or below the average. In this paper, we argue that clip...
Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana,...
DMIN
2006
122views Data Mining» more  DMIN 2006»
13 years 7 months ago
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...
AVSS
2005
IEEE
13 years 12 months ago
Clustering of human actions using invariant body shape descriptor and dynamic time warping
We propose a human action clustering method based on a 3D representation of the body in terms of volumetric coordinates. Features representing body postures are extracted directly...
Massimiliano Pierobon, Marco Marcon, Augusto Sarti...
ICDE
2005
IEEE
185views Database» more  ICDE 2005»
14 years 7 months ago
A Multiresolution Symbolic Representation of Time Series
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...
Vasileios Megalooikonomou, Qiang Wang, Guo Li, Chr...