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High dimensional data classification and feature selection using support vector machines

Ghaddar, Bissan; Naoum-Sawaya, Joe - In: European journal of operational research : EJOR 265 (2018) 3, pp. 993-1004

Persistent link: https://www.econbiz.de/10011778669

GRASS GIS for classification of Landsat TM images by maximum likelihood discriminant analysis : Tokyo area, Japan

Lemenkova, Polina - 2021

image using 'i.cluster' algorithm and 'i.group' for clustering data. The classification was done by Maximum Likelihhood …

Persistent link: https://www.econbiz.de/10013237699

Metaheuristics for data mining : survey opportunities for big data

Dhaenens, Clarisse; Jourdan, Laetitia - In: 4OR : a quarterly journal of operations research 17 (2019) 2, pp. 115-139

Persistent link: https://www.econbiz.de/10012007902

A methodology for evaluating feature selection and clustering methods with project-specific requirements

Linde, H. von; Riedel, O. - In: International journal of production research 63 (2025) 5, pp. 1692-1706

Persistent link: https://www.econbiz.de/10015421520

Variable Selection for Clustering and Classification

Andrews, Jeffrey; McNicholas, Paul - In: Journal of Classification 31 (2014) 2, pp. 136-153

clustering and classification analyses that is both intuitive and computationally efficient. We focus largely on applications in … mixture model-based learning, but the technique could be adapted for use with various other clustering/classification methods …

Persistent link: https://www.econbiz.de/10010950403

Multi-stage dynamic ensemble selection using heterogeneous learning algorithms : application on classification problems

Aziz, Nabiha; Farah, Nadir; Khadir, Mohamed Tarek - In: International journal of knowledge management studies : … 6 (2015) 1, pp. 16-30

Persistent link: https://www.econbiz.de/10011539454

A new comparative model for national innovation systems based on machine learning classification techniques

Alnafrah, Ibrahim; Zeno, Bassel - In: Innovation and development : RIAD 10 (2020) 1, pp. 45-66

Persistent link: https://www.econbiz.de/10012174915

Application of support vector machine for Arabic sentiment classification using Twitter-based dataset

Alyami, Sarah N.; Olatunji, Sunday O. - In: Journal of information & knowledge management : JIKM 19 (2020) 1, pp. 2040018-1-2040018-13

Persistent link: https://www.econbiz.de/10012292664

Classifications on wine informatics using PCA, LDA, and supervised machine learning techniques

Jena, Swarna Prabha; Paikaray, Bijay Kumar; Pramanik, … - In: International journal of work innovation : IJWI 4 (2023) 1, pp. 58-73

Persistent link: https://www.econbiz.de/10014478743

Thai stock news classification based on price changes and sentiments

Ponrudee Netisopakul; Woranun Saewong - In: International journal of electronic finance : IJEF 11 (2022) 1, pp. 49-66

Persistent link: https://www.econbiz.de/10012939852