V. B. Ivanov, V. Gilyarov, A. A. Musaev, “Spatial clustering of emergency situations locations”, Tr. SPIIRAN, 24 (2013), 108

Trudy SPIIRAN

RUS ENG

JOURNALS PEOPLE ORGANISATIONS CONFERENCES SEMINARS VIDEO LIBRARY PACKAGE AMSBIB

JavaScript is disabled in your browser. Please switch it on to enable full functionality of the website

	General information
	Latest issue
	Archive

	Search papers
	Search references

	RSS
	Latest issue
	Current issues
	Archive issues
	What is RSS

Informatics and Automation:
Year:
Volume:
Issue:
Page:
	Find

Personal entry:
Login:
Password:
	Save password
	Enter
	Forgotten password?
	Register

Trudy SPIIRAN, 2013, Issue 24, Pages 108–115 (Mi trspy562)

Spatial clustering of emergency situations locations

V. B. Ivanov^a, V. Gilyarov^a, A. A. Musaev^b

^a State Technological Institute of St. Petersburg (Technical University)
^b St. Petersburg Institute for Informatics and Automation of RAS

Full-text PDF (653 kB)

References:

PDF

HTML

Abstract: The topicality of spatial clustering of emergency situations locations is substantiated. The adapted STING clustering algorithm is presented. The work has a description of a choice of a database for storing clustering results based on comparative analysis of alternative storages. An algorithm for data preparation for following visualization is offered.

Keywords: spatial clustering, quadtree, graph database.

Received: 20.12.2012

Document Type: Article

Language: Russian

Citation: V. B. Ivanov, V. Gilyarov, A. A. Musaev, “Spatial clustering of emergency situations locations”, Tr. SPIIRAN, 24 (2013), 108–115

Citation in format AMSBIB

\Bibitem{IvaGilMus13}

\by V.~B.~Ivanov, V.~Gilyarov, A.~A.~Musaev

\paper Spatial clustering of emergency situations locations

\jour Tr. SPIIRAN

\yr 2013

\vol 24

\pages 108--115

\mathnet{http://mi.mathnet.ru/trspy562}

Linking options:

https://www.mathnet.ru/eng/trspy562

https://www.mathnet.ru/eng/trspy/v24/p108

Citing articles in Google Scholar: Russian citations, English citations
Related articles in Google Scholar: Russian articles, English articles

Statistics & downloads:
Abstract page:	254
Full-text PDF :	142
References:	32
First page:	1

Что такое QR-код?

Registration to the website

Logotypes