6 search results - page 1 / 2 » Unsupervised Feature Extraction for Time Series Clustering U... |
INFORMATICASI
2006
13 years 5 months ago
2006
ISNN
2011
Springer
12 years 8 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...
IJIT
2004
13 years 6 months ago
2004
Corrosion causes many failures in chemical process installations. These failures generate high costs, therefore an effective corrosion monitoring system obtrudes. This paper focuse...
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...
PKDD
2001
Springer
13 years 9 months ago
2001
Springer
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...