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Clustering

  • Mark HoogendoornEmail author
  • Burkhardt Funk
Chapter
Part of the Cognitive Systems Monographs book series (COSMOS, volume 35)

Abstract

This chapter focuses on clustering of the data resulting from quantified selves. It introduces distance functions that can be used to compare individual data points, but also entire datasets of users. Among these are dynamic time warping and the cross-correlation coefficient. The chapter provides a brief discussion of popular clustering techniques. In addition, it explains more specialized clustering techniques that are better suited for the quantified self, including subspace clustering and data stream mining.

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceVrije Universiteit AmsterdamAmsterdamThe Netherlands
  2. 2.Institut für WirtschaftsinformatikLeuphana Universität LüneburgLüneburgGermany

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