Survey on establishing the optimal number of factors in exploratory factor analysis applied to data mining-Reference-Cited by-同舟云学术

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Survey on establishing the optimal number of factors in exploratory factor analysis applied to data mining

Published:2018-12-04 Issue:2 Volume:9 Page:
ISSN:1942-4787
Container-title:WIREs Data Mining and Knowledge Discovery
language:en
Short-container-title:WIREs Data Mining Knowl Discov

Author:

Iantovics Laszlo Barna¹,Rotar Corina²,Morar Florica³

Affiliation:

1. Informatics Department, University of Medicine, Pharmacy, Sciences and Technology of Targu Mures Targu Mures Romania

2. Computer Science Department, “1 Decembrie 1918” University Alba Iulia Romania

3. Industrial Engineering and Management Department, University of Medicine, Pharmacy, Sciences and Technology of Targu Mures Targu Mures Romania

Funder

H2020 Future and Emerging Technologies

Publisher

Wiley

Subject

General Computer Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1294

Reference101 articles.

1. Exploratory Factor Analysis and Confirmatory Factor Analysis of the Korean Version of Hypomania Checklist-32

2. The HCL-32: Towards a self-assessment tool for hypomanic symptoms in outpatients

3. OutIntSys - A Novel Method for the Detection of the Most Intelligent Cooperative Multiagent Systems

4. Reducing the Dimensionality of Plant Spectral Databases

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