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Network analysis / Dendrogram / Statistics / Cluster analysis / Hierarchical clustering


Feature Clustering for Data Steering in Dynamic Data Driven Application Systems Alec Pawling and Greg Madey Department of Computer Science and Engineering University of Notre Dame Notre Dame, IN, USA, 46556
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Document Date: 2013-02-17 17:13:02


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City

Berlin / /

Company

Related Work Dynamic Data Driven Application Systems / Walle B.V. / Chawla N.V. / Dynamic Data Driven Application Systems / /

Country

Germany / United States / /

Facility

Engineering University of Notre Dame Notre Dame / /

IndustryTerm

agglomerative clustering algorithms / cell phone network / machine learning algorithms / text mining / disaster management / Wireless Phone-based Emergency Response / agglomerative clustering algorithm / link agglomerative algorithm / Wireless Phone-based Emergency Response System / geographic information system tools / on-line simulation validation / divisive-agglomerative algorithm / divisive information-theoretic feature clustering algorithm / wireless sensing / /

Organization

Greg Madey Department of Computer Science / National Science Foundation / CISE / Computer Science and Engineering University / University of Notre Dame / /

Person

Greg Madey / Alec Pawling / /

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PublishedMedium

Journal of Machine Learning Research / Lecture Notes in Computer Science / /

Technology

GIS / cellular telephone / machine learning algorithms / agglomerative clustering algorithm / divisive information-theoretic feature clustering algorithm / link agglomerative algorithm / sliding windows / clustering algorithm / agglomerative clustering algorithms / machine learning / divisive-agglomerative algorithm / simulation / /

URL

http /

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