Cluster Stability and the Use of Noise in Interpretation of Clustering

Authors:
George S. Davidson;Brian N. Wylie;Kevin W. Boyack
Affiliations:
-;-;-
Venue:
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Year:
2001

Citing 6
Cited 7

A simple method for computing general position in displaying three-dimensional objects

Computer Vision, Graphics, and Image Processing
An algorithm for drawing general undirected graphs

Information Processing Letters
The annealing algorithm

The annealing algorithm
Knowledge Mining With VxInsight: Discovery ThroughInteraction

Journal of Intelligent Information Systems - Special issue on information visualization: the next frontier
The ecological approach to text visualization

Journal of the American Society for Information Science - Speical issue on integrating mutiple overlapping metadata standards
Visualizing the non-visual: spatial analysis and interaction with information from text documents

INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization

Domain visualization using VxInsight for science and technology management

Journal of the American Society for Information Science and Technology
Interactively Exploring Hierarchical Clustering Results

Computer
Information Visualization, Human-Computer Interaction, and Cognitive Psychology: Domain Visualizations

Visual Interfaces to Digital Libraries [JCDL 2002 Workshop]
A two-way visualization method for clustered data

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Inferring Genetic Networks from Microarray Data

CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Visualizing distortions and recovering topology in continuous projection techniques

Neurocomputing
Visualization of labeled data using linear transformations

INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a new approach for the visualization of time-series data based on spirals. Different to classical bar charts and line graphs, the spiral is suited to visualize large data sets and supports much better the identification of periodic ...