Spatio-Temporal Clustering Benchmark for Collective Animal Behavior

Cakmak, Eren; Plank, Manuel; Calovi, Daniel S.; Jordan, Alex; Keim, Daniel A.

Spatio-Temporal Clustering Benchmark for Collective Animal Behavior

Dateien

Cakmak_2-2d9csrykklqw0.pdfGröße: 192.13 KBDownloads: 154

Datum

2021

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft
Exzellenzcluster "Centre for the Advanced Study of Collective Behaviour"

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility (HANIMOB’21),. New York, NY: ACM, 2021. Available under: doi: 10.1145/3486637.3489487

Zusammenfassung

Various spatio-temporal clustering methods have been proposed to detect groups of jointly moving objects in space and time. However, such spatio-temporal clustering methods are rarely compared against each other to evaluate their performance in discovering moving clusters. Hence, in this work, we present a spatio-temporal clustering benchmark for the field of collective animal behavior. Our reproducible benchmark proposes synthetic datasets with ground truth and scalable implementations of spatio-temporal clustering methods. The benchmark reveals that temporal extensions of standard clustering algorithms are inherently useful for the scalable detection of moving clusters in collective animal behavior.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Spatio-Temporal Clustering, Trajectory Clustering, Benchmark, Moving Clusters, Collective Animal Behavior

Konferenz

1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility (HANIMOB’21), 2. Nov. 2021, Beijing, China

Zitieren

ISO 690

CAKMAK, Eren, Manuel PLANK, Daniel S. CALOVI, Alex JORDAN, Daniel A. KEIM, 2021. Spatio-Temporal Clustering Benchmark for Collective Animal Behavior. 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility (HANIMOB’21). Beijing, China, 2. Nov. 2021. In: 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility (HANIMOB’21),. New York, NY: ACM, 2021. Available under: doi: 10.1145/3486637.3489487

BibTex

@inproceedings{Cakmak2021Spati-55277,
  year={2021},
  doi={10.1145/3486637.3489487},
  title={Spatio-Temporal Clustering Benchmark for Collective Animal Behavior},
  publisher={ACM},
  address={New York, NY},
  booktitle={1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility (HANIMOB’21),},
  author={Cakmak, Eren and Plank, Manuel and Calovi, Daniel S. and Jordan, Alex and Keim, Daniel A.}
}

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Universitätsbibliographie

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