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A proposal of hierarchical vertex clustering based on the Gosper curve

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238694" target="_blank" >RIV/61989100:27240/17:10238694 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/17:10238694

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SMC.2016.7844311" target="_blank" >http://dx.doi.org/10.1109/SMC.2016.7844311</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SMC.2016.7844311" target="_blank" >10.1109/SMC.2016.7844311</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A proposal of hierarchical vertex clustering based on the Gosper curve

  • Original language description

    Space-filling curves (SFCs) are straightforward and efficient methods for a sparse space clustering. They are utilized in research areas like classification, computer vision, computer graphics and/or machine learning. Most of the SFCs are based on a regular orthogonal grid. Generally, a hierarchical properties of Quad-trees (2D) or Octrees (n-dimensional) are utilized for a vertex hashing. However, the regular hexagonal grid is applicable for 2D tiling as well. The hexagonal shape is principally not a reptile, so the construction of hexagonal SFCs or a query structure is still a complex task. The Gosper curve (Flowsnake) is a self similar fractal that groups the hexagons to a composite called the Gosper island. This paper proposes a novel method constructing a Gosper-like space-filling curve of 2D vertices. The final algorithm is tested on several datasets and the results are discussed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Intelligent data analysis and applications: proceedings of the Third Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2016

  • ISBN

    978-3-319-48498-3

  • ISSN

    2194-5357

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    632-637

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Fu-čou

  • Event date

    Nov 7, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article