A Fast Implementation of the ISOCLUS Algorithm

Nargess Memarsadeghi; David M. Mount; Nathan S. Netanyahu; Jacqueline Le Moigne

A Fast Implementation of the ISOCLUS Algorithm

Nargess Memarsadeghi
, David M. Mount
, Nathan S. Netanyahu
, Jacqueline Le Moigne

Department of Computer Science

Research output: Contribution to conference › Paper › peer-review

6 Scopus citations

Abstract

The efficiency of implementation of the ISOCLUS algorithms was analyzed. The analysis was based on the use of kd-tree data structure and filtering algorithms. The speed-ups in running times on synthetic clustered data and landsat image data ranged from 10 to 30 and 3 to 6 respectively.

Original language	English
Pages	2057-2059
Number of pages	3
State	Published - 2003
Event	2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France Duration: 21 Jul 2003 → 25 Jul 2003

Conference

Conference	2003 IGARSS: Learning From Earth's Shapes and Colours
Country/Territory	France
City	Toulouse
Period	21/07/03 → 25/07/03

Cite this

@conference{d52f95edd47c4820a6bc9059b05b643c,

title = "A Fast Implementation of the ISOCLUS Algorithm",

abstract = "The efficiency of implementation of the ISOCLUS algorithms was analyzed. The analysis was based on the use of kd-tree data structure and filtering algorithms. The speed-ups in running times on synthetic clustered data and landsat image data ranged from 10 to 30 and 3 to 6 respectively.",

author = "Nargess Memarsadeghi and Mount, \{David M.\} and Netanyahu, \{Nathan S.\} and \{Le Moigne\}, Jacqueline",

year = "2003",

language = "אנגלית",

pages = "2057--2059",

note = "2003 IGARSS: Learning From Earth's Shapes and Colours ; Conference date: 21-07-2003 Through 25-07-2003",

}

TY - CONF

T1 - A Fast Implementation of the ISOCLUS Algorithm

AU - Memarsadeghi, Nargess

AU - Mount, David M.

AU - Netanyahu, Nathan S.

AU - Le Moigne, Jacqueline

PY - 2003

Y1 - 2003

N2 - The efficiency of implementation of the ISOCLUS algorithms was analyzed. The analysis was based on the use of kd-tree data structure and filtering algorithms. The speed-ups in running times on synthetic clustered data and landsat image data ranged from 10 to 30 and 3 to 6 respectively.

AB - The efficiency of implementation of the ISOCLUS algorithms was analyzed. The analysis was based on the use of kd-tree data structure and filtering algorithms. The speed-ups in running times on synthetic clustered data and landsat image data ranged from 10 to 30 and 3 to 6 respectively.

UR - https://www.scopus.com/pages/publications/0242710786

M3 - ???researchoutput.researchoutputtypes.contributiontoconference.paper???

AN - SCOPUS:0242710786

SP - 2057

EP - 2059

T2 - 2003 IGARSS: Learning From Earth's Shapes and Colours

Y2 - 21 July 2003 through 25 July 2003

ER -

A Fast Implementation of the ISOCLUS Algorithm

Abstract

Conference

Other files and links

Fingerprint

Cite this