Invention Grant
- Patent Title: Facilitating interpretation of high-dimensional data clusters
-
Application No.: US15307026Application Date: 2014-04-30
-
Publication No.: US09946959B2Publication Date: 2018-04-17
- Inventor: Ming C. Hao , Wei-Nchih Lee , Alexander Jaeger , Nelson L. Chang , Daniel Keim
- Applicant: Hewlett Packard Enterprise Development LP
- Applicant Address: US CA Sunnyvale
- Assignee: ENTIT SOFTWARE LLC
- Current Assignee: ENTIT SOFTWARE LLC
- Current Assignee Address: US CA Sunnyvale
- International Application: PCT/US2014/036154 WO 20140430
- International Announcement: WO2015/167526 WO 20151105
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62

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.
Public/Granted literature
- US20170046597A1 FACILITATING INTERPRETATION OF HIGH-DIMENSIONAL DATA CLUSTERS Public/Granted day:2017-02-16
Information query