Patents by Inventor Ramanan Ramanathan

Ramanan Ramanathan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for implementing density variation (DENSVAR) clustering algorithms
    Patent number: 11468999
    Abstract: The present disclosure provides a clustering device configured to detect varying density. The clustering device may receive a set of parameters (e.g., a density parameter specifying a plurality of density values, a size parameter, and a node parameter that includes information associated with a plurality of nodes) for identifying clusters. The clustering device may determine a distance between different pairs of nodes of the plurality of nodes and identify candidate nodes of the plurality of nodes based on the distance determined for the different pairs of nodes and the size parameter. Candidate nodes may be assigned to a candidate cluster that may be evaluated against the density parameter to determine whether a density of the candidate cluster satisfies at least one of the plurality of density values. A cluster may be identified based on whether the candidate cluster satisfies at least one of the plurality of density values.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: October 11, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Karthik Srinivasan, Deepak A. Sharma, Romesh Viswanath, Ram Mohen Venkatakrishnan, Ramanan Ramanathan
  • SYSTEMS AND METHODS FOR IMPLEMENTING DENSITY VARIATION (DENSVAR) CLUSTERING ALGORITHMS
    Publication number: 20220037033
    Abstract: The present disclosure provides a clustering device configured to detect varying density. The clustering device may receive a set of parameters (e.g., a density parameter specifying a plurality of density values, a size parameter, and a node parameter that includes information associated with a plurality of nodes) for identifying clusters. The clustering device may determine a distance between different pairs of nodes of the plurality of nodes and identify candidate nodes of the plurality of nodes based on the distance determined for the different pairs of nodes and the size parameter. Candidate nodes may be assigned to a candidate cluster that may be evaluated against the density parameter to determine whether a density of the candidate cluster satisfies at least one of the plurality of density values. A cluster may be identified based on whether the candidate cluster satisfies at least one of the plurality of density values.
    Type: Application
    Filed: July 31, 2020
    Publication date: February 3, 2022
    Inventors: Karthik Srinivasan, Deepak A. Sharma, Romesh Viswanath, Ram Mohen Venkatakrishnan, Ramanan Ramanathan