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US 9,311,899 B2Granted
Detecting and describing visible features on a visualization
AssigneeInternational Business Machines Corporation
InventorEser Kandogan
Life of this patent
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Abstract
Embodiments of the invention relate to detecting and describing visible features of a data set on a visualization. Visible features among a set of data in a view-space are detected. The visible features include potential data clusters and trends. These visual features are characterized using data-space. The characterized detected features are overlaid on visualization for supporting interaction and exploration of the data. Detected features are explored across two or more clusters for comparison of select data.
Claims11
A method comprising:
- detecting a first cluster;
- characterizing the first cluster, including identifying one or more first characteristics associated with the first cluster, wherein the one or more first characteristics comprise a first trend, wherein the first trend is a visual depiction of distribution of data within the first cluster, and wherein the identification of the first trend comprises:
- recognizing a first shape of the first cluster based on the first visual feature;
- associating the first shape to a trend-type;
- identifying one or more dimensions exhibiting the trend-type;
- and
- determining a strength of the trend-type from the identified one or more dimensions,
- including calculating average values associated with each identified dimension and
- performing a standard error based on the calculated average values;
- and
- overlaying the identified one or more first characteristics on a visualization for supporting interaction, the supported interaction including exploration of the identified one or more first characteristics for comparison of select data across two clusters.
8 more elements
Dependencies are inferred from the claim text.