1. Главная
  2. Ресурсы
  3. Библиотечный поиск
Binarization offeatures based onfrequencydiscretization forclustering tasks :доклад, тезисыдоклада Masich IgorShkaberina GuzelMasich Danila2025 год

Binarization of features based on frequency discretization for clustering tasks : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Binarization of features based on frequency discretization for clustering tasks : доклад, тезисы доклада / I. I. Masich, G. G. Shkaberina, D. D. Masich. - [S. l. : s. n.], 2025. - Текст : непосредственный // ITM Web of Conferences : III International Workshop / Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (2024 ; 02.12 - 04.12 ; Krasnoyarsk). - Krasnoyarsk, 2025. - P. 4003. - This work was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant No. 075-15-2022-1121). - DOI 10.1051/itmconf/20257204003.
Аннотация: This paper explores the transformation of heterogeneous features, including continuous data, into binary form using frequency discretization. This method is particularly beneficial for clustering tasks, as binary features simplify the interpretation of results using logical expressions. In unsupervised learning, where class labels are unknown, we propose a binarization approach that converts continuous features into binary values based on their frequency distribution. Our experiments show that this technique not only preserves essential information but also improves clustering quality, as measured by the Rand Index, compared to known groupings of industrial product batches. The method reduces noise, simplifies the feature space, and enhances cluster interpretability. Among various distance metrics, the best results were achieved using Cosine distance. These findings highlight the potential of frequency discretization for improving clustering outcomes.
Год издания: 2025
Авторы: Masich Igor , Shkaberina Guzel , Masich Danila
Издательство: Krasnoyarsk
Источник: ITM Web of Conferences
Номера страниц: 4003
Держатель оригинала документа: Reshetnev Siberian State University of Science and Technology, Siberian Federal University
Мероприятие: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (Krasnoyarsk, 2024 ; 02.12 - 04.12)
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

Похожие публикации

Influence of thenumber of attributebinarizationthresholds on thequality of thegenerated set ofrules for the… Kuzmich RomanPonomareva KaterinaNikiforov Artur2024 год

Influence of the number of attribute binarization thresholds on the quality of the generated… : доклад, тезисы доклада

  • Kuzmich Roman и др.
  • 2024 год
Feature Selection forNatural Language CallRouting Based onSelf-Adaptive GeneticAlgorithm Koromyslova ASemenkina M.E.Sergienko R2017 год

Feature Selection for Natural Language Call Routing Based on Self-Adaptive Genetic Algorithm : доклад, тезисы доклада

  • Koromyslova A и др.
  • 2017 год
THE STUDY OF OBJECTSCLUSTERING ALGORITHMSBASED ONSELF-ORGANIZINGKOHONEN CARDS USINGMETHODS OF EXTRACTINGFACTORS Markushin EgorShkaberina GuzelRezova Natalya2025 год

THE STUDY OF OBJECTS CLUSTERING ALGORITHMS BASED ON SELF-ORGANIZING KOHONEN CARDS USING METHODS OF… : научное издание

  • Markushin Egor и др.
  • 2025 год
Software system forcontactless textinput based oncomputer vision Peresunko PavelBochkarev AlexanderLarionov Egor2024 год

Software system for contactless text input based on computer vision : доклад, тезисы доклада

  • Peresunko Pavel и др.
  • 2024 год
Method forclassifying riskincidents based onself-organization ofsemantic clusters Shkodyrev V. P.Rodionov D. G.Konnikov E. A.2026 год

Method for classifying risk incidents based on self-organization of semantic clusters : статья из журнала

  • Shkodyrev V. P. и др.
  • 2026 год
An iterative featureselection procedurefor a classificationproblem based on themethod of logicalanalysis of data Kuzmich R.I.Stupina A.A.Zhirnova I.S.2021 год

An iterative feature selection procedure for a classification problem based on the method of… : доклад, тезисы доклада

  • Kuzmich R.I. и др.
  • 2021 год

Fast Numerical Methods for Stochastic Modeling Based on Probabilistic Extensions : статья из журнала

  • Dobronets Boris и др.
  • 2026 год
Feature SelectionTechniques Analysisfor Identification ofCognitive and RestingStates Based on EEGData Murtazina MarinaAvdeenko Tatiana2022 год

Feature Selection Techniques Analysis for Identification of Cognitive and Resting States… : доклад, тезисы доклада

  • Murtazina Marina и др.
  • 2022 год

Показать ещё

ModifiedCorrelation-BasedFeature Selection forIntelligenceEstimation Based onResting State EEGData Avdeenko TatianaTimofeeva AnastasiiaMurtazina Marina2022 год

Modified Correlation-Based Feature Selection for Intelligence Estimation Based on Resting… : доклад, тезисы доклада

  • Avdeenko Tatiana и др.
  • 2022 год
Creation of a Programfor Calculating theState of GeneticEquilibrium in aPopulation Based onthe Hardy-WeinbergLaw Masaev SergeyKhodykina Alexandra2025 год

Creation of a Program for Calculating the State of Genetic Equilibrium in a Population Based… : доклад, тезисы доклада

  • Masaev Sergey и др.
  • 2025 год
Logical analysis ofdata using linearapproximation andheuristic algorithmsfor geneexpression-baseddiagnostics Bartosh MariaMasich Igor2024 год

Logical analysis of data using linear approximation and heuristic algorithms for gene… : доклад, тезисы доклада

  • Bartosh Maria и др.
  • 2024 год
Algorithm forautomatic recognizingof radar scan type,based on theextraction ofstatical featuresfrom input… Ivannikova V. A.Korotkov V. F.2025 год

Algorithm for automatic recognizing of radar scan type, based on the extraction of statical… : статья из журнала

  • Ivannikova V. A. и др.
  • 2025 год
System of AutomatedText MessagesClustering bySemantic ProximityBased on NLP andMachine LearningMethods Khudonogova IuliiaLipinskiy LeonidPolyakova Anastasiya2023 год

System of Automated Text Messages Clustering by Semantic Proximity Based on NLP and Machine Learning Methods : доклад…

  • Khudonogova Iuliia и др.
  • 2023 год
Process management ofheterogeneousservices in a digitaluniversity based onmodified GERTnetworks Korpacheva LarisaFedorova AlexandraMakienko Danila2024 год

Process management of heterogeneous services in a digital university based on modified GERT… : доклад, тезисы доклада

  • Korpacheva Larisa и др.
  • 2024 год
Evaluation ofApproaches toModeling InformationRisk ofTelecommunicationSystems Based onHypergraphs Zolotarev VyacheslavGorodetskaya ElenaKuznetsov Alexey2025 год

Evaluation of Approaches to Modeling Information Risk of Telecommunication Systems Based on… : доклад, тезисы доклада

  • Zolotarev Vyacheslav и др.
  • 2025 год
Approach to DataClustering Based onMolecular ChemicalReactions withVarious DistanceMeasures Markushin E. M.Shkaberina G. Sh.Rezova N. L.2022 год

Approach to Data Clustering Based on Molecular Chemical Reactions with Various Distance… : доклад, тезисы доклада

  • Markushin E. M. и др.
  • 2022 год