Nominal Hierarchical Agglomerative Clustering (NoHAC) (sertifikat hak cipta)

Implements Hierarchical Clustering specifically designed for handling nominal data, using Hamming distance as a measure of dissimilarity.

Publication Details

Journal
Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton)
Published
2024-11-10
Primary Topic
Magnetic Field Sensors Techniques
Type
article
Field-Weighted Citation Impact
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article

Nominal Hierarchical Agglomerative Clustering (NoHAC) (sertifikat hak cipta)

Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton)
Magnetic Field Sensors Techniques
article

Nominal Hierarchical Agglomerative Clustering (NoHAC) (sertifikat hak cipta)

article en

Abstract

Implements Hierarchical Clustering specifically designed for handling nominal data, using Hamming distance as a measure of dissimilarity.

Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton)
Reduced inequalities
Openalex Percentile: Top 57%
Magnetic Field Sensors Techniques
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Nominal Hierarchical Agglomerative Clustering (NoHAC) (sertifikat hak cipta) · Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton) (2024) | TGRS Research Map | TGRS