| 发明名称 | Systems and methods for cluster analysis with relational truth | ||
| 摘要 | Systems and methods for measuring similarity between a set of clusters and a set of object labels, wherein at least two of the object labels are related, receive a first set of clusters, wherein the first set of clusters was formed by clustering objects in a set of objects into clusters of the first set of clusters according to a clustering procedure; and calculate a similarity index between the first set of clusters and a set of object labels based at least in part on a relationship between two or more object labels in the set of object labels. | ||
| 申请公布号 | US9116981(B2) | 申请公布日期 | 2015.08.25 |
| 申请号 | US201213542433 | 申请日期 | 2012.07.05 |
| 申请人 | Canon Kabushiki Kaisha | 发明人 | Denney Bradley Scott;Dusberger Dariusz T. |
| 分类号 | G06F17/00;G06F17/30 | 主分类号 | G06F17/00 |
| 代理机构 | Canon U.S.A., Inc. IP Division | 代理人 | Canon U.S.A., Inc. IP Division |
| 主权项 | 1. A method for measuring similarity between a set of clusters and a set of object labels, wherein at least two of the object labels are related, the method comprising: receiving a first set of clusters, wherein the first set of clusters was formed by clustering objects in a set of objects into clusters of the first set of clusters according to a clustering procedure; and calculating a similarity index between the first set of clusters and a set of object labels based at least in part on a relationship between two or more object labels in the set of object labels, wherein the object labels are semantic labels, wherein the relationship between the two or more object labels is based at least in part on a semantic distance, and wherein the semantic distance is defined by a semantic ontology that includes the object labels. | ||
| 地址 | Tokyo JP | ||