公开(公告)号：US20240362462A1

公开(公告)日：2024-10-31

申请号：US18648216

申请日：2024-04-26

Applicant: ThinkCyte K.K.

Inventor： Hirofumi Nakayama ,  Ryo Tamoto ,  Yuichi Yanagihashi

IPC: G06N3/0455 ,  G06N3/09

CPC classification number: G06N3/0455 ,  G06N3/09

Abstract: Systems and methods are provided to implement classification of objects, based on sensor data regarding the objects, without labels assigned to the sensor data. A system can include one or more processors. The one or more processors can retrieve sensor data regarding an object. The one or more processors can apply the sensor data as input to a classification model to cause the classification model to determine a classification of the object. The classification model can be configured based on training data that includes a plurality of clusters generated by dimensionality reduction of example data regarding example objects. At least one cluster of the plurality of clusters can be associated with the classification. The one or more processors can output the classification of the object.