Systems and methods for providing a nearest neighbors classification pipeline with automated dimensionality reduction
US11934384B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 1, 2022 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Dec 1, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed embodiments may include a system for providing a nearest neighbors classification pipeline with automated dimensionality reduction. The system may receive a dataset. The system may determine whether the dataset has a first dimensionality that exceeds a predetermined threshold. When dataset has a dimensionality that exceeds a predetermined threshold, the system may prompt a user to input an explained variance threshold ratio. The system may receive the explained variance threshold ratio. The system may iteratively perform a binary search on the dataset to determine a reduced dimensionality having a total explained variance ratio closest to but not less than the explained variance threshold ratio. The system may reduce the dataset to the reduced dimensionality to generate a reduced dataset. The system may train a machine learning model using the reduced dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.