Even Faster Exact k-Means Clustering

Borgelt, Christian

Even Faster Exact k-Means Clustering

Dateien

Borgelt_2-1kp54adjk555h8.pdfGröße: 846.83 KBDownloads: 188

Datum

2020

Open Access-Veröffentlichung

Open Access Bookpart

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

BERTHOLD, Michael R., ed., Ad FEELDERS, ed., Georg KREMPL, ed.. Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, Proceedings. Cham: Springer, 2020, pp. 93-105. Lecture Notes in Computer Science. 12080. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-030-44583-6. Available under: doi: 10.1007/978-3-030-44584-3_8

Zusammenfassung

A naïve implementation of k-means clustering requires computing for each of the n data points the distance to each of the k cluster centers, which can result in fairly slow execution. However, by storing distance information obtained by earlier computations as well as information about distances between cluster centers, the triangle inequality can be exploited in different ways to reduce the number of needed distance computations, e.g. [3, 4, 5, 7, 11]. In this paper I present an improvement of the Exponion method [11] that generally accelerates the computations. Furthermore, by evaluating several methods on a fairly wide range of artificial data sets, I derive a kind of map, for which data set parameters which method (often) yields the lowest execution times.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Exact k-means, Triangle inequality, Exponion

Konferenz

IDA 2020: Advances in Intelligent Data Analysis XVIII, 27. Apr. 2020 - 29. Apr. 2020, Konstanz

Zitieren

ISO 690

BORGELT, Christian, 2020. Even Faster Exact k-Means Clustering. IDA 2020: Advances in Intelligent Data Analysis XVIII. Konstanz, 27. Apr. 2020 - 29. Apr. 2020. In: BERTHOLD, Michael R., ed., Ad FEELDERS, ed., Georg KREMPL, ed.. Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, Proceedings. Cham: Springer, 2020, pp. 93-105. Lecture Notes in Computer Science. 12080. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-030-44583-6. Available under: doi: 10.1007/978-3-030-44584-3_8

BibTex

@inproceedings{Borgelt2020-04-22Faste-55969,
  year={2020},
  doi={10.1007/978-3-030-44584-3_8},
  title={Even Faster Exact k-Means Clustering},
  number={12080},
  isbn={978-3-030-44583-6},
  issn={0302-9743},
  publisher={Springer},
  address={Cham},
  series={Lecture Notes in Computer Science},
  booktitle={Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, Proceedings},
  pages={93--105},
  editor={Berthold, Michael R. and Feelders, Ad and Krempl, Georg},
  author={Borgelt, Christian}
}

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