US 11,989,222 B2
Cluster analysis method, cluster analysis system, and cluster analysis program
Kunitoshi Yamasaki, Tokyo (JP); and Ryuichi Hosoya, Tokyo (JP)
Assigned to AIXS, INC., Tokyo (JP)
Appl. No. 17/595,151
Filed by AIXS, INC., Tokyo (JP)
PCT Filed May 17, 2019, PCT No. PCT/JP2019/019725
§ 371(c)(1), (2) Date Nov. 10, 2021,
PCT Pub. No. WO2020/234930, PCT Pub. Date Nov. 26, 2020.
Prior Publication US 2022/0222287 A1, Jul. 14, 2022
Int. Cl. G06F 7/02 (2006.01); G06F 16/00 (2019.01); G06F 16/35 (2019.01); G06F 16/383 (2019.01); G06F 18/22 (2023.01)
CPC G06F 16/355 (2019.01) [G06F 16/383 (2019.01); G06F 18/22 (2023.01)] 6 Claims
OG exemplary drawing
 
6. A cluster analysis method in which a computer classifies a plurality of documents into clusters according to content of the plurality of documents, the cluster analysis method comprising:
an inter-cluster similarity calculation step of calculating inter-cluster similarity between a cluster classified in a first set extracted from the plurality of documents and a cluster classified in a second set different from the first set extracted from the plurality of documents; and
a cluster associating step of generating association information in which relevant clusters are linked over the first set and the second set based on the inter-cluster similarity calculated in the inter-cluster similarity calculation step; and
a display data generation step comprising:
generating display data indicating clusters having relevance over the first set and the second set being connected by a line, and
generating display data in which the cluster is expressed by a circle, a number of documents belonging to the cluster is expressed by a size of a circle, and the inter-cluster similarity is expressed by thickness of the line.