High dimensional to low dimensional data transformation and visualization system
US11120072B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 23, 2021 |
| Grant date | Sep 14, 2021 |
| Priority date | — |
| Expiry date | Feb 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19127
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer transforms high-dimensional data into low-dimensional data. (A) A distance matrix is computed from observation vectors. (B) A kernel matrix is computed from the distance matrix using a bandwidth value. (C) The kernel matrix is decomposed using an eigen decomposition to define eigenvalues. (D) A predefined number of largest eigenvalues are selected from the eigenvalues. (E) The selected largest eigenvalues are summed. (F) A next bandwidth value is computed based on the summed eigenvalues. (A) through (F) are repeated with the next bandwidth value until a stop criterion is satisfied. Each observation vector of the observation vectors is transformed into a second space using a kernel principal component analysis with the next bandwidth value and the kernel matrix. The second space has a dimension defined by the predefined number of first eigenvalues. Each transformed observation vector is output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.