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公开(公告)号：US12124483B2
公开(公告)日：2024-10-22
申请号：US18181831
申请日：2023-03-10
发明人： Mridul Kumar Nath , Shubham Negi , Abhishek Anand
IPC分类号： G06F16/28
CPC分类号： G06F16/287
摘要： Method includes obtaining sample records from dataset associated with user and including records associated with identifiers customers of user; executing first clustering using sample records, to obtain first set of clusters for first identifiers associated with sample records, first clustering using features associated with first identifiers; providing visualization of first set of clusters; determining whether user input for optimizing first set of clusters provided in visualization is received; when user input for optimizing first set of clusters is not received, determining first information related to first set of clusters as final result information; when user input for optimizing first set of clusters is received: executing second clustering using sample records, to obtain second set of clusters for first identifiers, second clustering using features associated with first identifiers, and determining second information related to second set of clusters as final result information; and clustering entire dataset using final result information.
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公开(公告)号：US20240303256A1
公开(公告)日：2024-09-12
申请号：US18181831
申请日：2023-03-10
发明人： Mridul Kumar Nath , Shubham Negi , Abhishek Anand
IPC分类号： G06F16/28
CPC分类号： G06F16/287
摘要： Method includes obtaining sample records from dataset associated with user and including records associated with identifiers customers of user; executing first clustering using sample records, to obtain first set of clusters for first identifiers associated with sample records, first clustering using features associated with first identifiers; providing visualization of first set of clusters; determining whether user input for optimizing first set of clusters provided in visualization is received; when user input for optimizing first set of clusters is not received, determining first information related to first set of clusters as final result information; when user input for optimizing first set of clusters is received: executing second clustering using sample records, to obtain second set of clusters for first identifiers, second clustering using features associated with first identifiers, and determining second information related to second set of clusters as final result information; and clustering entire dataset using final result information.
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