CN105247487B - 用于非平稳数据的凝聚群集的并行方法 - Google Patents

用于非平稳数据的凝聚群集的并行方法 Download PDF

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CN105247487B
CN105247487B CN201480030706.0A CN201480030706A CN105247487B CN 105247487 B CN105247487 B CN 105247487B CN 201480030706 A CN201480030706 A CN 201480030706A CN 105247487 B CN105247487 B CN 105247487B
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processor
thread
data point
cluster
point stream
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CN105247487A (zh
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I·D·古达里阿
S·格里克菲尔德
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Qualcomm Inc
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/466Transaction processing
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/54Interprogram communication
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • G06N5/043Distributed expert systems; Blackboards

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Telephone Function (AREA)
CN201480030706.0A 2013-05-30 2014-05-29 用于非平稳数据的凝聚群集的并行方法 Expired - Fee Related CN105247487B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US13/906,169 US9411632B2 (en) 2013-05-30 2013-05-30 Parallel method for agglomerative clustering of non-stationary data
US13/906,169 2013-05-30
PCT/US2014/040018 WO2014194086A1 (en) 2013-05-30 2014-05-29 A parallel method for agglomerative clustering of non-stationary data

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CN105247487A CN105247487A (zh) 2016-01-13
CN105247487B true CN105247487B (zh) 2018-12-28

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US (1) US9411632B2 (enExample)
EP (1) EP3005115A1 (enExample)
JP (1) JP2016530591A (enExample)
KR (1) KR101793014B1 (enExample)
CN (1) CN105247487B (enExample)
WO (1) WO2014194086A1 (enExample)

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US11461360B2 (en) * 2018-03-30 2022-10-04 AVAST Software s.r.o. Efficiently initializing distributed clustering on large data sets
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CN110717517A (zh) * 2019-09-06 2020-01-21 中国平安财产保险股份有限公司 智能化多线程聚类方法、装置及计算机可读存储介质
US20210272025A1 (en) * 2019-12-27 2021-09-02 Stmicroelectronics, Inc. Method and system for updating machine learning based classifiers for reconfigurable sensors
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CN102855259A (zh) * 2011-06-30 2013-01-02 Sap股份公司 大规模数据聚类分析的并行化

Also Published As

Publication number Publication date
KR101793014B1 (ko) 2017-11-02
CN105247487A (zh) 2016-01-13
US20140359626A1 (en) 2014-12-04
WO2014194086A1 (en) 2014-12-04
JP2016530591A (ja) 2016-09-29
KR20160016842A (ko) 2016-02-15
EP3005115A1 (en) 2016-04-13
US9411632B2 (en) 2016-08-09

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