Systems and methods for cluster analysis with relational truth
First Claim
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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, andwherein the semantic distance is defined by a semantic ontology that includes the object labels.
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Abstract
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.
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Citations
15 Claims
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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:
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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. - View Dependent Claims (2, 3, 4)
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5. A system for measuring similarity between a set of clusters and a corresponding set of object labels, the system comprising:
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one or more non-transitory computer-readable media configured to store computer-executable instructions; and one or more processors configured to cause the system to receive a set of object clusters, wherein the set of object clusters includes two or more clusters, receive a set of object labels, and generate a similarity index between the set of clusters and the 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. - View Dependent Claims (6, 7, 8, 9, 10)
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11. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computing devices, cause the one or more computing devices to perform operations comprising:
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receiving a set of clusters of objects, wherein the set of clusters includes two or more clusters of objects; receiving a set of object labels of objects, wherein the set of object labels includes two or more labels; and calculating a similarity index between the set of clusters and the 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. - View Dependent Claims (12, 13, 14, 15)
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Specification