Visual analysis of multidimensional clusters
US9342579B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2011 |
| Grant date | May 17, 2016 |
| Priority date | — |
| Expiry date | Jul 6, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/287
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Visualization techniques are provided for a clustered multidimensional dataset. A data set is visualized by obtaining a clustering of a multidimensional dataset comprising a plurality of entities, wherein the entities are instances of a particular concept and wherein each entity comprises a plurality of features; and generating an icon for at least one of the entities, the icon having a plurality of regions, wherein each region corresponds to one of the features of the at least one entity, and wherein a size of each region is based on a value of the corresponding feature. Each icon can convey statistical measures. A stabilized Voronoi-based icon layout algorithm is optionally employed. Icons can be embedded in a visualization of the multidimensional dataset. A hierarchical encoding scheme can be employed to encode a data cluster into the icon, such as a hierarchy of cluster, feature type and entity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.