Applying Compression to Hierarchical Clustering

Gilad Baruch; Shmuel Tomi Klein; Dana Shapira

doi:10.1007/978-3-030-02224-2_12

Applying Compression to Hierarchical Clustering

Gilad Baruch, Shmuel Tomi Klein, Dana Shapira

Department of Computer Science

Ariel University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Hierarchical Clustering is widely used in Machine Learning and Data Mining. It stores bit-vectors in the nodes of a k-ary tree, usually without trying to compress them. We suggest a data compression application of hierarchical clustering with a double usage of the xoring operations defining the Hamming distance used in the clustering process, extending it also to be used to transform the vector in one node into a more compressible form, as a function of the vector in the parent node. Compression is then achieved by run-length encoding, followed by optional Huffman coding, and we show how the compressed file may be processed directly, without decompression.

Original language	English
Title of host publication	Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings
Editors	Stéphane Marchand-Maillet, Yasin N. Silva, Edgar Chávez
Publisher	Springer Verlag
Pages	151-162
Number of pages	12
ISBN (Print)	9783030022235
DOIs	https://doi.org/10.1007/978-3-030-02224-2_12
State	Published - 2018
Event	11th International Conference on Similarity Search and Applications, SISAP 2018 - Lima, Peru Duration: 7 Oct 2018 → 9 Oct 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11223 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Similarity Search and Applications, SISAP 2018
Country/Territory	Peru
City	Lima
Period	7/10/18 → 9/10/18

Bibliographical note

Publisher Copyright:
© 2018, Springer Nature Switzerland AG.

Access to Document

10.1007/978-3-030-02224-2_12

Cite this

Baruch, G., Klein, S. T., & Shapira, D. (2018). Applying Compression to Hierarchical Clustering. In S. Marchand-Maillet, Y. N. Silva, & E. Chávez (Eds.), Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings (pp. 151-162). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11223 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-02224-2_12

Baruch, Gilad ; Klein, Shmuel Tomi ; Shapira, Dana. / Applying Compression to Hierarchical Clustering. Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings. editor / Stéphane Marchand-Maillet ; Yasin N. Silva ; Edgar Chávez. Springer Verlag, 2018. pp. 151-162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Baruch, G, Klein, ST & Shapira, D 2018, Applying Compression to Hierarchical Clustering. in S Marchand-Maillet, YN Silva & E Chávez (eds), Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11223 LNCS, Springer Verlag, pp. 151-162, 11th International Conference on Similarity Search and Applications, SISAP 2018, Lima, Peru, 7/10/18. https://doi.org/10.1007/978-3-030-02224-2_12

Applying Compression to Hierarchical Clustering. / Baruch, Gilad; Klein, Shmuel Tomi; Shapira, Dana.
Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings. ed. / Stéphane Marchand-Maillet; Yasin N. Silva; Edgar Chávez. Springer Verlag, 2018. p. 151-162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11223 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Baruch G, Klein ST, Shapira D. Applying Compression to Hierarchical Clustering. In Marchand-Maillet S, Silva YN, Chávez E, editors, Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings. Springer Verlag. 2018. p. 151-162. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-02224-2_12

Applying Compression to Hierarchical Clustering

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