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案件記録

POPULATION-STRUCTURE STATISTICS FOR PRIVACY-PRESERVING DATA ANALYSIS

発明審査中
20請求項 · 3 独立
§ Ⅰ

案件概要

出願人

CASE WESTERN RESERVE UNIVERSITY; RUTGERS UNIVERSITY OFFICE FOR RESEARCH; THE BOARD OF REGENTS OF THE UNIVERSITY OF TEXAS SYSTEM

発明者

Erman Ayday; Jaideep Vaidya; Xiaoqian Jiang

IPC分類

G6F 21/62G6F 18/23

CPC分類

G6F21/6218G6F18/23

An example method can include applying, on or by the first computer, a trained principal component analysis (PCA) model to the samples of a first dataset to provide a PCA output. The method can also include generating metadata based on the PCA output, sending the metadata from the first computer to a second computer. The method can also include receiving cluster data at the first computer, in which the cluster data is determined by second computer to define a measure of relatedness among the samples in at least the first dataset based on the metadata from the first computer and other metadata from at least one other computer.

原文(中国語)

An example method can include applying, on or by the first computer, a trained principal component analysis (PCA) model to the samples of a first dataset to provide a PCA output. The method can also include generating metadata based on the PCA output, sending the metadata from the first computer to a second computer. The method can also include receiving cluster data at the first computer, in which the cluster data is determined by second computer to define a measure of relatedness among the samples in at least the first dataset based on the metadata from the first computer and other metadata from at least one other computer.

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