The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 28, 2025

Filed:

May. 31, 2024
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Inbal Sagiv, Kfar Saba, IL;

David Dyckman, Bet Shemesh, IL;

Oron Nir, Herzliya, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01);
Abstract

Systems and methods are provided for implementing large-scale density-based clustering functionalities. In examples, a system selects, for a dataset (which may be sampled at 100% or less), an upper bound value and a lower bound value of a neighborhood radius parameter of a density-based clustering algorithm. The system identifies, using a modified ternary search algorithm, an optimal neighborhood radius parameter value, based on the upper and lower bound values, outputs the optimal neighborhood radius parameter value and/or a corresponding optimal number of clusters within the dataset. The modified ternary search algorithm leverages the near-unimodality of the neighborhood radius parameter, while selection of the upper bound value leverages a characteristic in which the neighborhood radius parameter value increases as the sampling rate decreases, and selection of the lower bound value uses ternary search that takes the number of clusters as a parameter instead of the neighborhood radius parameter.


Find Patent Forward Citations

Loading…