Discovery visualization using fast clustering

被引：10

作者：

Ribarsky, W ^{[1
]}

Katz, J ^{[1
]}

Jiang, F ^{[1
]}

Holland, A ^{[1
]}

机构：

[1] Georgia Inst Technol, Coll Comp, Graph Visulaizat & Usabil Ctr, Atlanta, GA 30332 USA

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 1999年 / 19卷 / 05期

关键词：

D O I：

10.1109/38.788796

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Described is a new approach to data exploration that requires the close coupling of man and machine. Referred to as discovery visualization, the approach aims to discover new relations, new features, and new knowledge. By combining automated response and user selection, this approach achieves and sustains animated action while users explore time-dependent data.

引用

页码：32 / 39

页数：8

共 16 条

[1]

BRYSON S, 1993, SIGGRAPH 1993

[2]

CORMAN TH, 1997, INTRO ALGORITHMS

[3]

EGEMAN T, 1997, P IEEE INF VIS 97 S, P81

[4]

ESTER M, 1995, LECT NOTES COMPUT SC, V951, P67

[5]

Faloutsos C., 1995, P 1995 ACM SIGMOD IN, P163

[6]

GANTI V, 1998, CLUSTERING LARGE DAT

[7]

GROSS M, 1994, SCI VIDUALIZATION, P172

[8]

HAGEN H, 1994, SCI VISUALIZATION, P186

[9] Visualization of cluster hierarchies [J].

Heckel, B ;

Hamann, B .

VISUAL DATA EXPLORATION AND ANALYSIS V, 1998, 3298 :162-171

[10]

Lindstrom P., 1996, Computer Graphics Proceedings. SIGGRAPH '96, P109, DOI 10.1145/237170.237217

← 1 2 →