111 search results - page 1 / 23 » Orthogonal Feature Learning for Time Series Clustering |
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...
INFORMATICASI
2006
13 years 4 months ago
2006
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
DATAMINE
2006
13 years 4 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...
TKDE
2008
13 years 4 months ago
2008
This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomera...