POPULATION-STRUCTURE STATISTICS FOR PRIVACY-PRESERVING DATA ANALYSIS
개요
출원인
CASE WESTERN RESERVE UNIVERSITY; RUTGERS UNIVERSITY OFFICE FOR RESEARCH; THE BOARD OF REGENTS OF THE UNIVERSITY OF TEXAS SYSTEM
발명자
Erman Ayday; Jaideep Vaidya; Xiaoqian Jiang
IPC 분류
CPC 분류
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.
원문 (중국어)
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.