Overview and comparative study of dimensionality reduction techniques for high dimensional data

S Ayesha, MK Hanif, R Talib - Information Fusion, 2020 - Elsevier
The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

[HTML][HTML] Review of dimension reduction methods

S Nanga, AT Bawah, BA Acquaye, MI Billa… - Journal of Data Analysis …, 2021 - scirp.org
Purpose: This study sought to review the characteristics, strengths, weaknesses variants,
applications areas and data types applied on the various Dimension Reduction techniques …

[HTML][HTML] Underutilized Feature Extraction Methods for Burn Severity Map**: A Comprehensive Evaluation

L Nguyen Van, G Lee - Remote Sensing, 2024 - mdpi.com
Wildfires increasingly threaten ecosystems and infrastructure, making accurate burn severity
map** (BSM) essential for effective disaster response and environmental management …

MING: An interpretative support method for visual exploration of multidimensional data

B Colange, L Vuillon, S Lespinats… - Information …, 2022 - journals.sagepub.com
Dimensionality reduction enables analysts to perform visual exploration of multidimensional
data with a low-dimensional map retaining as much as possible of the original data …