公开(公告)号：US20170046597A1

公开(公告)日：2017-02-16

申请号：US15307026

申请日：2014-04-30

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Ming C. Hao ,  Wei-Nchih Lee ,  Alexander Jaeger ,  Nelson L. Chang ,  Daniel Keim

IPC: G06K9/62

CPC classification number: G06K9/6224 ,  G06K9/00 ,  G06K9/6215 ,  G06K9/6218 ,  G06K9/6235 ,  G06K2009/6236

Abstract: In an example, high-dimensional data is projected to a multi-dimensional space to differentiate clusters of the high-dimensional data. A user selection of at least two of the clusters may be received and a plurality of dissimilar dimensions may be extracted from the at least two clusters. In addition, a user selected of a dissimilar dimension from the plurality of extracted dissimilar dimensions may be received. In response to receipt of the user selection of the dissimilar dimension from the plurality of dissimilar dimensions, a plurality of correlated dimensions to the dissimilar dimension may be determined. In addition, the plurality of dissimilar dimensions and the plurality of correlated dimensions may be displayed.

Abstract translation: 在一个示例中，高维数据被投影到多维空间以区分高维数据的簇。 可以接收至少两个群集的用户选择，并且可以从至少两个群集中提取多个不同维度。 此外，可以接收从多个提取的不同维度中选择不同维度的用户。 响应于从多个不同维度接收到不同维度的用户选择，可以确定与不相似维度的多个相关维度。 此外，可以显示多个不同维度和多个相关维度。

公开(公告)号：US09946959B2

公开(公告)日：2018-04-17

申请号：US15307026

申请日：2014-04-30

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Ming C. Hao ,  Wei-Nchih Lee ,  Alexander Jaeger ,  Nelson L. Chang ,  Daniel Keim

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/6224 ,  G06K9/00 ,  G06K9/6215 ,  G06K9/6218 ,  G06K9/6235 ,  G06K2009/6236

Abstract: In an example, high-dimensional data is projected to a multi-dimensional space to differentiate clusters of the high-dimensional data. A user selection of at least two of the clusters may be received and a plurality of dissimilar dimensions may be extracted from the at least two clusters. In addition, a user selected of a dissimilar dimension from the plurality of extracted dissimilar dimensions may be received. In response to receipt of the user selection of the dissimilar dimension from the plurality of dissimilar dimensions, a plurality of correlated dimensions to the dissimilar dimension may be determined. In addition, the plurality of dissimilar dimensions and the plurality of correlated dimensions may be displayed.