US 11,868,376 B2
Systems and methods for visualization of data analysis
Gunnar Carlsson, Stanford, CA (US); Harlan Sexton, Palo Alto, CA (US); and Gurjeet Singh, Palo Alto, CA (US)
Assigned to SymphonyAI Sensa LLC, Palo Alto, CA (US)
Filed by Ayasdi AI LLC, Redwood City, CA (US)
Filed on Feb. 25, 2022, as Appl. No. 17/652,632.
Application 17/652,632 is a continuation of application No. 15/930,343, filed on May 12, 2020, granted, now 11,263,244.
Application 15/930,343 is a continuation of application No. 14/577,649, filed on Dec. 19, 2014, granted, now 10,650,031, issued on May 12, 2020.
Application 14/577,649 is a continuation of application No. 12/703,165, filed on Feb. 9, 2010, granted, now 8,972,899, issued on Mar. 3, 2015.
Claims priority of provisional application 61/151,488, filed on Feb. 10, 2009.
Prior Publication US 2022/0179885 A1, Jun. 9, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/28 (2019.01); G06F 3/0484 (2022.01); G06F 3/04842 (2022.01)
CPC G06F 16/287 (2019.01) [G06F 3/0484 (2013.01); G06F 3/04842 (2013.01); G06F 16/288 (2019.01)] 19 Claims
OG exemplary drawing
 
1. A method comprising:
receiving data points, each data point including two or more features;
mapping each of the data points to a mathematical reference space;
generating a cover of open sets in the mathematical reference space, each data point in the mathematical reference space being in at least one of the open sets;
performing at least one similarity function on at least one data point based on data associated with at least one of the open sets of the cover in the mathematical reference space to determine one or more nodes of a plurality of nodes, each of the one or more nodes of the plurality of nodes comprising members representative of at least one subset of the data points;
generating a visualization comprising the plurality of nodes and a plurality of edges wherein each of the edges of the plurality of edges connects nodes with shared members;
receiving a selection of nodes of the plurality of nodes;
determining one or more features of the data points that are members of the selection of nodes responsible for similarity of the members of the selection of nodes; and
displaying the one or more features.