Maharaj, Elizabeth Ann, <br/><br/>
Time series clustering and classification / 
Elizabeth Ann Maharaj, Department of Econometrics and Business Statistics, Monash University, Australia, Pierpaolo D'Urso, Department of Social and Economic Sciences, Sapienza--University of Rome, Italy, Jorge Caiado, Department of Mathematics, ISEG, Lisbon School of Economics & Management, University of Lisbon, Portugal. 
 - xv, 228 pages :  illustrations ;  25 cm. 
 - Chapman & Hall/CRC computer science & data analysis series .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Introduction -- Time series features and models -- Traditional cluster analysis -- Fuzzy clustering -- Observation-based clustering -- Feature-based clustering -- Model-based clustering -- Other time series clustering approaches -- Feature-based approaches -- Other time series classification approaches -- Software and data sets. 
<br/><br/><label>ISBN: </label>9781498773218 
<br/><br/><label>LCCN: </label>2018052974 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Time-series analysis.<br/>Cluster analysis.
<br/><br/><label>LC Class. No.: </label>QA280  / .M3345 2019 
<br/><br/><label>Dewey Class. No.: </label>Grad 519.55  / M214 2019