Machine Learning Feature Dimensionality Reduction Dataset

Name: Machine Learning Feature Dimensionality Reduction Dataset
Creator: Lizeng Gong
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Machine Learning

Citation Author(s):: Lizeng Gong
Submitted by:: Lizeng Gong
Last updated:: Thu, 07/28/2022 - 11:23
DOI:: 10.21227/m0de-0h56

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Categories:

Machine Learning

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Abstract

Contains 12 datasets for feature selection dimensionality reduction and machine learning.

The dimension of the selected datasets ranges from 10 to 1000, and the number of instances ranges from 200 to 3000.

Instructions:

Ten of the datasets were selected from UCI Machine Learning Repository publicly available datasets: Vehicle Silhouettes (Vehicle), Ionosphere (Iop), Dermatology (Dml), Connectionist Bench (CB), Synthetic Control Chart Time Series (SC), Libras Movement (LM), Musk (Musk), Urban Land Cover (ULC), Cardiac Arrhythmia (CA), CNAE-9 (CNAE). One dataset is crane songs dataset (Crane), and the other one is the hyperspectral dataset Pavia University (PU).