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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2012

A fast evolutionary algorithm for automatic evolution of clusters

The record

Type
Publication
Date
9 July 2012
Level
National
Journal
Information Technology Journal
Volume
11
Issue
10
Pages
1409-1417
Published
9 July 2012
DOI
10.3923/itj.2012.1409.1417
Scopus ID
84863424943
ISSN
18125638
Authors
3
Open access
No
Citations
2
International co-authorship
No
Co-author countries
IN

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Fast evolutionary algorithm for automatic cluster determination in high-dimensional data represents novel research methodology in computational clustering optimization

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.1 Research and development

    Sub-themePrimaryHigh confidenceJudged

    Evolutionary computation methodology advancement contributes to research and development in data mining and pattern recognition techniques

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “A fast evolutionary algorithm for automatic evolution of clusters”. Kortex.

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A fast evolutionary algorithm for automatic evolution of clusters · Kortex