FCLUST: A visualization tool for fuzzy clustering

M. A. Egan; M. Krishnamoorthy; K. Rajan

FCLUST: A visualization tool for fuzzy clustering

M. A. Egan
, M. Krishnamoorthy
, K. Rajan

Department of Materials Design and Innovation

Rensselaer Polytechnic Institute

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

Abstract

Emerging technologies on the World Wide Web promise to make program, algorithm and concept simulations universally accessible. Simulations involving animation and visualization have a tremendous benefit when applied to various algorithms. We present a simulation tool for experimenting with concepts in fuzzy clustering that has proved useful in visualizing the results and demonstrating the computation method of the algorithms. This is especially advantageous in a classroom or laboratory setting where students may become more comfortable with the mechanics of fuzzy clustering through personal discovery and online experimentation.

Original language	English
Pages	227-231
Number of pages	5
State	Published - 1998
Event	Proceedings of the 1998 29th SIGCSE Technical Symposium on Computer Science Education, SIGCSE - Atlanta, GA, USA Duration: Feb 25 1998 → Mar 1 1998

Conference

Conference	Proceedings of the 1998 29th SIGCSE Technical Symposium on Computer Science Education, SIGCSE
City	Atlanta, GA, USA
Period	02/25/98 → 03/1/98

Cite this

@conference{892f1498509d4d68a87fc0f6406c27de,

title = "FCLUST: A visualization tool for fuzzy clustering",

abstract = "Emerging technologies on the World Wide Web promise to make program, algorithm and concept simulations universally accessible. Simulations involving animation and visualization have a tremendous benefit when applied to various algorithms. We present a simulation tool for experimenting with concepts in fuzzy clustering that has proved useful in visualizing the results and demonstrating the computation method of the algorithms. This is especially advantageous in a classroom or laboratory setting where students may become more comfortable with the mechanics of fuzzy clustering through personal discovery and online experimentation.",

author = "Egan, \{M. A.\} and M. Krishnamoorthy and K. Rajan",

year = "1998",

language = "English",

pages = "227--231",

note = "Proceedings of the 1998 29th SIGCSE Technical Symposium on Computer Science Education, SIGCSE ; Conference date: 25-02-1998 Through 01-03-1998",

}

TY - CONF

T1 - FCLUST

T2 - Proceedings of the 1998 29th SIGCSE Technical Symposium on Computer Science Education, SIGCSE

AU - Egan, M. A.

AU - Krishnamoorthy, M.

AU - Rajan, K.

PY - 1998

Y1 - 1998

N2 - Emerging technologies on the World Wide Web promise to make program, algorithm and concept simulations universally accessible. Simulations involving animation and visualization have a tremendous benefit when applied to various algorithms. We present a simulation tool for experimenting with concepts in fuzzy clustering that has proved useful in visualizing the results and demonstrating the computation method of the algorithms. This is especially advantageous in a classroom or laboratory setting where students may become more comfortable with the mechanics of fuzzy clustering through personal discovery and online experimentation.

AB - Emerging technologies on the World Wide Web promise to make program, algorithm and concept simulations universally accessible. Simulations involving animation and visualization have a tremendous benefit when applied to various algorithms. We present a simulation tool for experimenting with concepts in fuzzy clustering that has proved useful in visualizing the results and demonstrating the computation method of the algorithms. This is especially advantageous in a classroom or laboratory setting where students may become more comfortable with the mechanics of fuzzy clustering through personal discovery and online experimentation.

UR - https://www.scopus.com/pages/publications/0031678737

M3 - Paper

AN - SCOPUS:0031678737

SP - 227

EP - 231

Y2 - 25 February 1998 through 1 March 1998

ER -

FCLUST: A visualization tool for fuzzy clustering

Abstract

Conference

Other files and links

Fingerprint

Cite this