Abstract
Change Point Discovery (CPD) and Constrained Motif Discovery (CMD) are two essential problems in data mining with applications in many fields including robotics, economics, neuroscience and other fields. In this paper, we show that these two problems are related and report the development of a MATLAB Toolbox (CPMD) that encapsulates several useful algorithms including new variants to solve these two related problems. The Toolbox is then used to study the effect of distance function choice in CPD. © 2012 Springer-Verlag.
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CITATION STYLE
Mohammad, Y., Ohmoto, Y., & Nishida, T. (2012). CPMD: A Matlab toolbox for change point and constrained motif discovery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7345 LNAI, pp. 114–123). https://doi.org/10.1007/978-3-642-31087-4_13
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