Multivariate data analysis method
US9424307B2 · kind B2 · utility
Inventor
Key dates
| Filing date | Oct 11, 2013 |
| Grant date | Aug 23, 2016 |
| Priority date | — |
| Expiry date | Jun 6, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2207/58
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This invention is a computerized method which unites a multivariate dataset and then performs various operations, including data analytics. The set is stored in a “bipartite synthesis matrix” (BSM), e.g., a rectangular matrix with rows of data objects and columns of variable attributes, defined by a plurality of partitions (each with a numerical range and a characteristic scale). Links within the matrix between data objects and attribute(s) are based on shared correspondences within partitions. The process exploits mode reduction in which shared correspondences of a BSM (or its graph) interrelate data objects by producing an adjacency matrix or its associated graph. The partition scale is repeatedly and incrementally altered, varying the density of shared correspondences within the data, based on partition number and size; therefore, a fully connected and weighted unipartite network may be established. Shared correspondences' given scale and variable attribute provide distance metrics for edges within the network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.