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
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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.
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 (12)
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 |
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 |
Family Cites Families (10)
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 |
-
2014
- 2014-02-28 CN CN201410073496.5A patent/CN103902655B/zh active Active
- 2014-11-14 BR BR112015002059A patent/BR112015002059A2/pt not_active IP Right Cessation
- 2014-11-14 JP JP2016504484A patent/JP6104454B2/ja active Active
- 2014-11-14 WO PCT/CN2014/091197 patent/WO2015127801A1/zh active Application Filing
- 2014-11-14 MX MX2015001410A patent/MX2015001410A/es unknown
- 2014-11-14 KR KR1020157001990A patent/KR101646887B1/ko active IP Right Grant
-
2015
- 2015-02-26 EP EP15156806.0A patent/EP2913780A3/en not_active Ceased
Also Published As
Publication number | Publication date |
---|---|
KR20150111343A (ko) | 2015-10-05 |
CN103902655A (zh) | 2014-07-02 |
BR112015002059A2 (pt) | 2017-07-04 |
WO2015127801A1 (zh) | 2015-09-03 |
EP2913780A2 (en) | 2015-09-02 |
JP2016520896A (ja) | 2016-07-14 |
EP2913780A3 (en) | 2015-09-30 |
KR101646887B1 (ko) | 2016-08-08 |
JP6104454B2 (ja) | 2017-03-29 |
CN103902655B (zh) | 2017-01-04 |
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