The novel application of dynamic graphics to unsupervised learning , graphs , and cycle clustering

@inproceedings{Ashlock2002TheNA,
  title={The novel application of dynamic graphics to unsupervised learning , graphs , and cycle clustering},
  author={Daniel A. Ashlock and Daniel Berleant},
  year={2002}
}
Dynamic graphics are a collection of data visualization techniques that employ interaction and real-time updating to enhance graphical displays. Traditionally, dynamic graphics have been used to augment classic statistical plots, such as scatter plots. This thesis describes the novel application of dynamic graphics to explore several different areas: traditional unsupervised learning algorithms, graphs, and new applications of clustering algorithms to graphs. Unsupervised learning algorithms… CONTINUE READING