7 search results - page 1 / 2 » Dimension Reduction for Clustering Time Series Using Global ... |
ICCS
2005
Springer
13 years 10 months ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
DATAMINE
2006
13 years 5 months ago
2006
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
ISNN
2011
Springer
12 years 7 months ago
2011
Springer
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...
IS
2008
13 years 5 months ago
2008
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
CIMCA
2008
IEEE
13 years 11 months ago
2008
IEEE
A relatively new technique for measuring the 3D structure of visual scenes is provided by time of flight (TOF) cameras. Reflections of modulated light waves are recorded by a pa...