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Patent AT-E401612-T1: [Translated] CLUSTER TECHNOLOGY FOR CYCLIC PHENOMENA
A data processing system processes data arrays that collectively describe cyclic behavior of at least one variable in several entities in a physical process. Each cycle comprises several time slots. An input routine (2-4) receives multiple data arrays, each data array containing multiple data items, each of which describes a variable of an entity in one time slot. A magnitude-determination routine (2-6) determines a specific magnitude parameter, such as average, volume or peak, for each of the several entities. A scaling routine (2-8) scales the data arrays between entities such that the specific magnitude parameters are suppressed and only their shape is maintained. A training routine (2-10) trains a clustering system with a first plurality of the scaled data arrays, to determine a set of cluster centers. After training, a clustering routine (2-12) applies a second plurality of the scaled data arrays to the trained clustering system.
Complete Metadata
| bureauCode |
[ "009:25" ] |
|---|---|
| identifier | https://healthdata.gov/api/views/s474-ad77 |
| issued | 2025-09-05 |
| landingPage | https://healthdata.gov/d/s474-ad77 |
| programCode |
[ "009:066" ] |
| theme |
[ "NIH" ] |