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US Patent 9710493 Approximate K-means via cluster closures

Patent 9710493 was granted and assigned to Microsoft on July, 2017 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Microsoft
Microsoft
1
Current Assignee
Microsoft
Microsoft
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
97104931
Patent Inventor Names
Jing Wang1
Jingdong Wang1
Qifa Ke1
Shipeng Li1
Date of Patent
July 18, 2017
1
Patent Application Number
137916661
Date Filed
March 8, 2013
1
Patent Citations Received
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US Patent 12131142 Artificial intelligence driven configuration management
2
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US Patent 12001926 Systems and methods for detecting long term seasons
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US Patent 11670020 Seasonal aware method for forecasting and capacity planning
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US Patent 11949703 Systems and methods for multivariate anomaly detection in software monitoring
5
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US Patent 11887015 Automatically-generated labels for time series data and numerical lists to use in analytic and machine learning systems
6
‌
US Patent 11928760 Systems and methods for detecting and accommodating state changes in modelling
7
‌
US Patent 11836162 Unsupervised method for classifying seasonal patterns
8
Patent Primary Examiner
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Michelle Owyang
1
Patent abstract

A set of data points is divided into a plurality of subsets of data points. A set of cluster closures is generated based at least in part on the subset of data points. Each cluster closure envelopes a corresponding cluster of a set of clusters and is comprised of data points of the enveloped cluster and data points neighboring the enveloped cluster. A k-Means approximator iteratively assigns data points to a cluster of the set of clusters and updates a set of cluster centroids corresponding to the set of clusters. The k-Means approximator assigns data points based at least in part on the set of cluster closures.

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