Nonlinear dimensionality reduction of mixed-type feature space based on generalized assessments and latent feature analysis

Tuhtabayev, Kudratillo, Ergasheva, Shohsanam

Al-Farg'oniy avlodlari · 2026-yil

Annotatsiya

Dimensionality reduction is one of the important problems in machine learning and intellectual data analysis, especially when objects are described by mixed-type features measured in different scales. Methodology for dimensionality reduction of heterogeneous feature space is developed using nonlinear transformations, membership functions, generalized assessments and latent features. The stability and informativeness of features are evaluated, and an agglomerative hierarchical grouping algorithm is applied to form a set of latent features. These latent features are interpreted as generalized assessments of objects and can be used as a new feature space for classification.

Maqola ma’lumotlari
MualliflarTuhtabayev, Kudratillo, Ergasheva, Shohsanam
JurnalAl-Farg'oniy avlodlari
NashriyotТАТУ Фарғона филиали
ISSN2181-4252
Nashr sanasi2026-05-30
Son2
Betlar230-234
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

dimensionality reduction, heterogeneous features, nonlinear transformation, generalized assessment, latent features, classification., снижение размерности, гетерогенные признаки, нелинейное преобразование, обобщённая оценка, латентные признаки, классификация., o‘lchamni qisqartirish, geterogen alomatlar, nochiziqli o‘zgartirish, umumlashgan baho, latent alomatlar, tasniflash.

Ilmiy soha

Texnika

Iqtibos keltirish

APATuhtabayev, Kudratillo, & Ergasheva, Shohsanam (2026). NONLINEAR DIMENSIONALITY REDUCTION OF MIXED-TYPE FEATURE SPACE BASED ON GENERALIZED ASSESSMENTS AND LATENT FEATURE ANALYSIS. Al-Farg'oniy avlodlari, (2), 230-234. https://al-fargoniy.uz/index.php/journal/article/view/1165
GOST (OAK)Tuhtabayev, Kudratillo, Ergasheva, Shohsanam NONLINEAR DIMENSIONALITY REDUCTION OF MIXED-TYPE FEATURE SPACE BASED ON GENERALIZED ASSESSMENTS AND LATENT FEATURE ANALYSIS // Al-Farg'oniy avlodlari. – 2026. – № 2. – P. 230-234.
MLATuhtabayev, Kudratillo, and Ergasheva, Shohsanam. “NONLINEAR DIMENSIONALITY REDUCTION OF MIXED-TYPE FEATURE SPACE BASED ON GENERALIZED ASSESSMENTS AND LATENT FEATURE ANALYSIS.” Al-Farg'oniy avlodlari, (2), 230-234, 2026. https://al-fargoniy.uz/index.php/journal/article/view/1165
ChicagoTuhtabayev, Kudratillo, and Ergasheva, Shohsanam. “NONLINEAR DIMENSIONALITY REDUCTION OF MIXED-TYPE FEATURE SPACE BASED ON GENERALIZED ASSESSMENTS AND LATENT FEATURE ANALYSIS.” Al-Farg'oniy avlodlari, (2), 230-234 (2026). https://al-fargoniy.uz/index.php/journal/article/view/1165
HarvardTuhtabayev, Kudratillo, and Ergasheva, Shohsanam (2026) ‘NONLINEAR DIMENSIONALITY REDUCTION OF MIXED-TYPE FEATURE SPACE BASED ON GENERALIZED ASSESSMENTS AND LATENT FEATURE ANALYSIS’, Al-Farg'oniy avlodlari, (2), 230-234. https://al-fargoniy.uz/index.php/journal/article/view/1165
BibTeX
@article{tuhtabayevkudratillo2026,
  title = {NONLINEAR DIMENSIONALITY REDUCTION OF MIXED-TYPE FEATURE SPACE BASED ON GENERALIZED ASSESSMENTS AND LATENT FEATURE ANALYSIS},
  author = {Tuhtabayev, Kudratillo and Ergasheva, Shohsanam},
  journal = {Al-Farg'oniy avlodlari},
  year = {2026},
  number = {2},
  pages = {230-234},
  url = {https://al-fargoniy.uz/index.php/journal/article/view/1165}
}

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