Clustering techniques applied to outlier detection of financial market series using a moving window filtering algorithm - A. A. Birch - Document - PDFSEARCH.IO

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	Clustering techniques applied to outlier detection of financial market series using a moving window filtering algorithm Add to Reading List Document Date: 2008-10-14 11:28:04 Open Document File Size: 1,26 MB Share Result on Facebook City Barcelona / Frankfurt am Main / / Country Germany / Spain / / / Facility Central Building / University of Barcelona / / / IndustryTerm chosen algorithm / similar algorithms / window filtering algorithm / window algorithm / / Organization Department of Probability / Logic and Statistics / University of Barcelona / European Central Bank / / Person Maria Puigvert Gutiérrez / J.M. Israël / H. Neuhaus / Antonio Colangelo / / / Position author / cluster representative / representative / single series representative / / ProgrammingLanguage MATLAB / / Technology filtering algorithm / moving filtering window algorithm / chosen algorithm / two similar algorithms / 6 2 The algorithm / MOVING WINDOW FILTERING ALGORITHM / moving window algorithm / html / two algorithms / / URL http / SocialTag Robust statistics Outlier Cluster analysis Anomaly detection Hierarchical clustering BIRCH CURE data clustering algorithm Statistics Data analysis Data mining

Clustering techniques applied to outlier detection of financial market series using a moving window filtering algorithmAdd to Reading List