Chapter 15

Time-Series Data Clustering

Dimitrios Kotsakos

University of Athens Athens, Greecedimkots@di.uoa.gr

Goce Trajcevski

Evanston, IL Northwestern Universitygoce@eecs.northwestern.edu

Dimitrios Gunopulos

University of Athens Athens, Greecedg@di.uoa.gr

Charu C. Aggarwal

IBM T. J. Watson Research Center Yorktown Heights, NYcharu@us.ibm.com

15.1 Introduction

Time-series data is one of the most common forms of data encountered in a wide variety of scenarios such as the stock markets, sensor data, fault monitoring, machine state monitoring, environmental applications, or medical data. The problem of clustering finds numerous applications in the time-series domain, such as the determination of groups of entities with similar trends. Time-series ...

Get Data Clustering now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.