Name
Abstract | ||
|---|---|---|
The self-organizing map's unsupervised clustering method can be used as a data visualisation technique. Within this paper different techniques to visualise self- organizing maps (SOM) and their effectiveness are inves- tigated in relation to the organisation of a large software collection and its visualisation. GENISOM, an offspring component of the GENESIS software engineering platform, incorporates the genera- tion, maintenance and viewing of Self-Organizing Maps. The results from our studies indicate that a hybrid of 2D and 3D visualisations is favoured by users. Extensive us- ability tests also show that the majority of users found that the additional information a SOM provides, aids browsing and searching of a software collection. Further work is addressing the problems found in the application of SOM within a software engineering environment. |
Year | Venue | Keywords |
|---|---|---|
2003 | Visualizing Software for Understanding and Analysis | software visualisation,self organizing maps,genisom |
Field | DocType | Citations |
Data science,Systems engineering,Computer science,Self-organizing map,Software | Conference | 3 |
PageRank | References | Authors |
0.63 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James Brittle | 1 | 3 | 0.63 |
| Cornelia Boldyreff | 2 | 464 | 56.05 |