Invention Grant
- Patent Title: Distributed clustering with outlier detection
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Application No.: US14553093Application Date: 2014-11-25
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Publication No.: US10042912B2Publication Date: 2018-08-07
- Inventor: Svetlana Levitan , Jing-Yun Shyr , Damir Spisic , Jing Xu
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Isaac J. Gooshaw; Jose A. Medina-Cruz
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
One or more processors initiate cluster feature (CF)-tree based hierarchical clustering on leaf entries of CF-trees included in a plurality of subsets. One or more processors, generate respective partial clustering solutions for the subsets. A partial clustering solution includes a set of regular sub-clusters and candidate outlier sub-clusters. One or more processors generate initial regular clusters by performing hierarchical clustering using the regular sub-clusters. For a candidate outlier sub-cluster, one or more processors determine a closest initial regular cluster, and a distance separating the candidate outlier sub-cluster and the closest initial regular cluster. One or more processors determine which candidate outlier sub-clusters are outlier clusters based on which candidate outlier sub-clusters have a computed distance to their respective closest initial regular cluster that is greater than a corresponding distance threshold associated with their respective closest initial regular cluster.
Public/Granted literature
- US20150286703A1 ADAPTIVE VARIABLE SELECTION FOR DATA CLUSTERING Public/Granted day:2015-10-08
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