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» Orthogonal Feature Learning for Time Series Clustering
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157
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ISNN
2011
Springer
14 years 1 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
INFORMATICASI
2006
128views more  INFORMATICASI 2006»
14 years 10 months ago
Unsupervised Feature Extraction for Time Series Clustering Using Orthogonal Wavelet Transform
Hui Zhang, Tu Bao Ho, Yang Zhang, Mao Song Lin
97
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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
15 years 4 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
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 (...
Hyunjin Yoon, Cyrus Shahabi
112
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DATAMINE
2006
224views more  DATAMINE 2006»
14 years 10 months ago
Characteristic-Based Clustering for Time Series Data
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...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
102
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TKDE
2008
158views more  TKDE 2008»
14 years 10 months ago
Hierarchical Clustering of Time-Series Data Streams
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...
Pedro Pereira Rodrigues, João Gama, Jo&atil...