Google Inc.

Marc Andreas Schaub

Mark Yinan Li

Steve Chien

James Aspinall

Ruwen Hess

Zhou Bailiang

Benjamin James Anderson

Benjamin Ernest Anderson

Presented are techniques of identifying, processing and displaying data point clusters associated with map information in an efficient manner Methods and systems are disclosed which process map information to identify clusters of requested data points for display, based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.

Identifying, processing and displaying data point clusters

Presented are techniques of identifying, processing and displaying data point clusters associated with map information in an efficient manner. Methods and systems are disclosed which process map information to identify clusters of requested data points for display, based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.

Presented are techniques of identifying, processing and displaying data point clusters () associated with map information () in an efficient manner. Methods and systems are disclosed which process map information () to identify clusters () of requested data points for display (), based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons (-) representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.

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Palo Alto, CA, United States of America

Marc Andreas Schaub