Clustering using self organized map on rmesh

John Jenq

Clustering using self organized map on rmesh

Computer Science

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

Abstract

Clustering finds its applications in image processing, business, and bioinformatics. In this paper two Self Organized map algorithms on Reconfigurable mesh with buses will be presented. These algorithms use M×K PEs and M×N×K PEs. The former has time complexity of 0(logM)for process one pattern. The latter has time complexity of O(logMN) for processing N patterns.

Original language	English
Title of host publication	20th International Conference on Computers and Their Applications 2005, CATA 2005
Pages	91-96
Number of pages	6
State	Published - 1 Dec 2005
Event	20th International Conference on Computers and Their Applications 2005, CATA 2005 - New Orleans, LA, United States Duration: 16 Mar 2005 → 18 Mar 2005

Publication series

Name	20th International Conference on Computers and Their Applications 2005, CATA 2005

Other

Other	20th International Conference on Computers and Their Applications 2005, CATA 2005
Country	United States
City	New Orleans, LA
Period	16/03/05 → 18/03/05

Fingerprint Dive into the research topics of 'Clustering using self organized map on rmesh'. Together they form a unique fingerprint.

Cite this

@inproceedings{fff11ddd92cf4ad7a8e2d241f3579459,

title = "Clustering using self organized map on rmesh",

abstract = "Clustering finds its applications in image processing, business, and bioinformatics. In this paper two Self Organized map algorithms on Reconfigurable mesh with buses will be presented. These algorithms use M×K PEs and M×N×K PEs. The former has time complexity of 0(logM)for process one pattern. The latter has time complexity of O(logMN) for processing N patterns.",

author = "John Jenq",

year = "2005",

month = dec,

day = "1",

language = "English",

isbn = "9781618395528",

series = "20th International Conference on Computers and Their Applications 2005, CATA 2005",

pages = "91--96",

booktitle = "20th International Conference on Computers and Their Applications 2005, CATA 2005",

note = "null ; Conference date: 16-03-2005 Through 18-03-2005",

}

TY - GEN

T1 - Clustering using self organized map on rmesh

AU - Jenq, John

PY - 2005/12/1

Y1 - 2005/12/1

N2 - Clustering finds its applications in image processing, business, and bioinformatics. In this paper two Self Organized map algorithms on Reconfigurable mesh with buses will be presented. These algorithms use M×K PEs and M×N×K PEs. The former has time complexity of 0(logM)for process one pattern. The latter has time complexity of O(logMN) for processing N patterns.

AB - Clustering finds its applications in image processing, business, and bioinformatics. In this paper two Self Organized map algorithms on Reconfigurable mesh with buses will be presented. These algorithms use M×K PEs and M×N×K PEs. The former has time complexity of 0(logM)for process one pattern. The latter has time complexity of O(logMN) for processing N patterns.

UR - http://www.scopus.com/inward/record.url?scp=84883425883&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84883425883

SN - 9781618395528

T3 - 20th International Conference on Computers and Their Applications 2005, CATA 2005

SP - 91

EP - 96

BT - 20th International Conference on Computers and Their Applications 2005, CATA 2005

Y2 - 16 March 2005 through 18 March 2005

ER -

Clustering using self organized map on rmesh

Abstract

Publication series

Other

Other files and links

Cite this