Indexing of large scale patient set
AssigneeInternational Business Machines Corporation
InventorsFEI WANG, JUN WANG
Life of this patent
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Abstract
Systems and methods for indexing data include formulating an objective function to index a dataset, a portion of the dataset including supervision information. A data property component of the objective function is determined, which utilizes a property of the dataset to group data of the dataset. A supervised component of the objective function is determined, which utilizes the supervision information to group data of the dataset. The objective function is optimized using a processor based upon the data property component and the supervised component to partition a node into a plurality of child nodes.
Claims20
A method for indexing data, comprising:
- determining a data property component of an objective function indexing a dataset, the data property component configured to utilize a property of the dataset for grouping data of the dataset, and for maximizing a variance of the dataset to reduce computational costs during the indexing;
- determining a supervised component of the objective function which utilizes supervision information from the dataset to group data of the dataset;
- and
- optimizing the objective function using a processor based upon the data property component and the supervised component to partition a node into a plurality of child nodes.
A method for indexing data, comprising:
- formulating an objective function to index a dataset, a portion of the dataset including supervision information;
- determining a data property component of the objective function which utilizes a property of the dataset to group data of the dataset, the determining including maximizing a variance of the dataset by applying at least one of a principal component analysis (PCA) and maximum variance unfolding (MVU) to reduce computational costs during the indexing;
- determining a supervised component of the objective function which utilizes the supervision information to group data of the dataset;
- and
- optimizing the objective function using a processor based upon the data property component and the supervised component to partition a node into a plurality of child nodes.
A method for indexing data, comprising:
- determining a data property component of an objective function indexing a dataset, the data property component configured to utilize a property of the dataset to group data of the dataset, the determining including maximizing a variance of the dataset by applying at least one of a principal component analysis (PCA) and maximum variance unfolding (MVU) to reduce computational costs during the indexing;
- determining a supervised component of the objective function which utilizes supervision information to group data of the dataset;
- and
- optimizing the objective function using a processor based upon the data property component and the supervised component to partition a node into a plurality of child nodes.
Dependencies are inferred from the claim text.