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MX2015001410A - Metodo de agrupacion, aparato y aparato de terminal. - Google Patents

Metodo de agrupacion, aparato y aparato de terminal.

Info

Publication number
MX2015001410A
MX2015001410A MX2015001410A MX2015001410A MX2015001410A MX 2015001410 A MX2015001410 A MX 2015001410A MX 2015001410 A MX2015001410 A MX 2015001410A MX 2015001410 A MX2015001410 A MX 2015001410A MX 2015001410 A MX2015001410 A MX 2015001410A
Authority
MX
Mexico
Prior art keywords
objects
accessed
clustering
neighbouring
core
Prior art date
Application number
MX2015001410A
Other languages
English (en)
Inventor
Tao Zhang
Lin Wang
Zhijun Chen
Original Assignee
Xiaomi Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xiaomi Inc filed Critical Xiaomi Inc
Publication of MX2015001410A publication Critical patent/MX2015001410A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/763—Non-hierarchical techniques, e.g. based on statistics of modelling distributions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/30—Scenes; Scene-specific elements in albums, collections or shared content, e.g. social network photos or video
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Multimedia (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)

Abstract

Se proporciona un método de agrupación, un aparato y un aparato de terminal. En el método, se determina que existe el por lo menos un dominio vecino en el cual el número de los proyectos vecinos es mayor o igual que el valor predeterminado y el objeto a visitar se determina como el objeto central. El objeto a visitar se agrupa en el primer grupo, y se realiza la agrupación ampliada en objetos vecinos de densidad directamente alcanzable en el dominio vecino predeterminado del objeto a visitar. Si el objeto vecino de densidad directamente alcanzable no es el objeto central, la agrupación ampliada se detiene y se determina un siguiente objeto a visitar hasta que todos los objetos a visitar estén agrupados. Dado que la pluralidad de dominios vecinos se usa para determinar 5± el objeto a visitar es el objeto central, se reduce una limitación del radio de escaneo y el número mínimo de puntos contenidos. Por lo tanto, se reduce una sensibilidad de un resultado de agrupación para Eps y MinPts y se mejora un porcentaje de precisión del resultado de agrupación.
MX2015001410A 2014-02-28 2014-11-14 Metodo de agrupacion, aparato y aparato de terminal. MX2015001410A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201410073496.5A CN103902655B (zh) 2014-02-28 2014-02-28 聚类方法、装置及终端设备
PCT/CN2014/091197 WO2015127801A1 (zh) 2014-02-28 2014-11-14 聚类方法、装置及终端设备

Publications (1)

Publication Number Publication Date
MX2015001410A true MX2015001410A (es) 2016-04-27

Family

ID=50993978

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2015001410A MX2015001410A (es) 2014-02-28 2014-11-14 Metodo de agrupacion, aparato y aparato de terminal.

Country Status (7)

Country Link
EP (1) EP2913780A3 (es)
JP (1) JP6104454B2 (es)
KR (1) KR101646887B1 (es)
CN (1) CN103902655B (es)
BR (1) BR112015002059A2 (es)
MX (1) MX2015001410A (es)
WO (1) WO2015127801A1 (es)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103902655B (zh) * 2014-02-28 2017-01-04 小米科技有限责任公司 聚类方法、装置及终端设备
CN106204118A (zh) * 2016-06-30 2016-12-07 百度在线网络技术（北京）有限公司 一种用于商圈发现的方法与装置
KR102410825B1 (ko) * 2017-08-14 2022-06-20 삼성전자주식회사 문장의 도메인 판단 방법 및 장치
CN108038500B (zh) * 2017-12-07 2020-07-03 东软集团股份有限公司 聚类方法、装置、计算机设备、存储介质和程序产品
CN111723959B (zh) 2019-03-19 2023-12-12 腾讯科技（深圳）有限公司 区域的划分方法、装置、存储介质及电子装置
CN110113228B (zh) * 2019-04-25 2020-12-18 新华三信息安全技术有限公司 一种网络连接检测方法及装置
CN110097126B (zh) * 2019-05-07 2023-04-21 江苏优聚思信息技术有限公司 基于dbscan聚类算法的核查重点人员、房屋漏登记的方法
CN110163280A (zh) * 2019-05-17 2019-08-23 深圳前海微众银行股份有限公司 一种聚类方法及装置
CN110188810A (zh) * 2019-05-23 2019-08-30 西北工业大学 一种基于密度聚类的在线野值检测、识别与修正方法
CN110276401A (zh) * 2019-06-24 2019-09-24 广州视源电子科技股份有限公司 样本聚类方法、装置、设备及存储介质
CN110717428A (zh) * 2019-09-27 2020-01-21 上海依图网络科技有限公司 一种融合多个特征的身份识别方法、装置、系统、介质及设备
CN111968365B (zh) * 2020-07-24 2022-02-15 武汉理工大学 一种非信号交叉口车辆行为分析方法、系统及存储介质
CN112070140B (zh) * 2020-09-01 2022-05-03 中国人民解放军陆军工程大学 一种基于维度分解的密度聚类类标模式识别方法
CN114997309B (zh) * 2022-06-01 2025-03-25 珠海市钰海电力有限公司 给水泵故障预警方法及装置

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101536591B (zh) * 2006-10-30 2012-06-06 Lm爱立信电话有限公司 用于改善定位的扩展聚类
CN101996198B (zh) * 2009-08-31 2016-06-29 中国移动通信集团公司 聚类实现方法及系统
US8429153B2 (en) * 2010-06-25 2013-04-23 The United States Of America As Represented By The Secretary Of The Army Method and apparatus for classifying known specimens and media using spectral properties and identifying unknown specimens and media
JP5551986B2 (ja) * 2010-07-05 2014-07-16 株式会社Ｋａｄｏｋａｗａ 情報処理装置、情報処理方法、及びプログラム
CN102185919B (zh) * 2011-05-04 2013-05-08 江苏大学 一种基于节点置信半径的p2p网络分布式聚类方法
CN102670251B (zh) * 2012-05-29 2014-04-02 飞依诺科技(苏州)有限公司 基于数值排序加权平均的超声图像空间滤波方法
CN103577875B (zh) * 2013-11-20 2016-05-25 北京联合大学 一种基于fast的计算机辅助cad人数统计方法
CN103679148B (zh) * 2013-12-11 2017-04-26 哈尔滨工业大学深圳研究生院 一种基于聚类角点加权面积的群体聚散检测的方法与装置
CN103902654B (zh) * 2014-02-28 2017-02-08 小米科技有限责任公司 聚类方法、装置及终端设备
CN103902655B (zh) * 2014-02-28 2017-01-04 小米科技有限责任公司 聚类方法、装置及终端设备

Also Published As

Publication number Publication date
EP2913780A2 (en) 2015-09-02
EP2913780A3 (en) 2015-09-30
CN103902655B (zh) 2017-01-04
CN103902655A (zh) 2014-07-02
KR20150111343A (ko) 2015-10-05
WO2015127801A1 (zh) 2015-09-03
BR112015002059A2 (pt) 2017-07-04
JP6104454B2 (ja) 2017-03-29
KR101646887B1 (ko) 2016-08-08
JP2016520896A (ja) 2016-07-14

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