MY152935A - Method and apparatus for adaptive data clustering - Google Patents

Method and apparatus for adaptive data clustering

Info

Publication number
MY152935A
MY152935A MYPI2010002979A MY152935A MY 152935 A MY152935 A MY 152935A MY PI2010002979 A MYPI2010002979 A MY PI2010002979A MY 152935 A MY152935 A MY 152935A
Authority
MY
Malaysia
Prior art keywords
principle axis
data points
adaptive data
data clustering
cluster centers
Prior art date
Application number
Inventor
Chan Chee Seng
Original Assignee
Mimos Berhad
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 Mimos Berhad filed Critical Mimos Berhad
Priority to MYPI2010002979 priority Critical patent/MY152935A/en
Priority to PCT/MY2010/000238 priority patent/WO2011162589A1/en
Publication of MY152935A publication Critical patent/MY152935A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2137—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps
    • G06F18/21375—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps involving differential geometry, e.g. embedding of pattern manifold
    • 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
    • G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering

Landscapes

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

Abstract

[0051] THE PRESENT INVENTION PROVIDES A METHOD OF CLUSTERING DATA POINTS IN A MULTI-DIMENSIONAL FEATURE SPACE. THE METHOD COMPRISES FORMING (301) A PRINCIPLE AXIS BENDING GAUSSIAN MODEL TO GROUP THE DATA POINTS ALONG A CURVED PRINCIPLE AXIS ON A ORTHOGONAL PLANE; CARRYING OUT (302) A FUZZY C-MEANS FOR LOCATING CLUSTER CENTERS OF THE PRINCIPLE AXIS BENDING GAUSSIAN MODEL; AND PERFORMING (303) ITERATIVELY EXPECTATION-MAXIMIZATION (EM) ALGORITHM TO UPDATE AND OPTIMIZE THE CLUSTER CENTERS. [0052]
MYPI2010002979 2010-06-22 2010-06-22 Method and apparatus for adaptive data clustering MY152935A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
MYPI2010002979 MY152935A (en) 2010-06-22 2010-06-22 Method and apparatus for adaptive data clustering
PCT/MY2010/000238 WO2011162589A1 (en) 2010-06-22 2010-10-29 Method and apparatus for adaptive data clustering

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MYPI2010002979 MY152935A (en) 2010-06-22 2010-06-22 Method and apparatus for adaptive data clustering

Publications (1)

Publication Number Publication Date
MY152935A true MY152935A (en) 2014-12-15

Family

ID=45371615

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2010002979 MY152935A (en) 2010-06-22 2010-06-22 Method and apparatus for adaptive data clustering

Country Status (2)

Country Link
MY (1) MY152935A (en)
WO (1) WO2011162589A1 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104809098A (en) * 2014-01-27 2015-07-29 华为技术有限公司 Method and device for determining statistical model parameter based on expectation-maximization algorithm
CN105913074B (en) * 2016-04-05 2019-01-11 西安电子科技大学 Based on amplitude and the united SAR image moving-target clustering method of radial velocity
CN106408569B (en) * 2016-08-29 2018-12-04 北京航空航天大学 Based on the brain MRI image dividing method for improving Fuzzy C-Means Cluster Algorithm
US10451544B2 (en) 2016-10-11 2019-10-22 Genotox Laboratories Methods of characterizing a urine sample
WO2018208970A1 (en) 2017-05-09 2018-11-15 Massachusetts Eye And Ear Infirmary Biomarkers for age-related macular degeneration
CN108828583B (en) * 2018-06-15 2022-06-28 西安电子科技大学 Point trace clustering method based on fuzzy C mean value

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020129038A1 (en) * 2000-12-18 2002-09-12 Cunningham Scott Woodroofe Gaussian mixture models in a data mining system
US20030154181A1 (en) * 2002-01-25 2003-08-14 Nec Usa, Inc. Document clustering with cluster refinement and model selection capabilities
US7764819B2 (en) * 2006-01-25 2010-07-27 Siemens Medical Solutions Usa, Inc. System and method for local pulmonary structure classification for computer-aided nodule detection

Also Published As

Publication number Publication date
WO2011162589A1 (en) 2011-12-29

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