A dimensionality reduction method to select the most representative daylight illuminance distributions-Reference-Cited by-同舟云学术

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A dimensionality reduction method to select the most representative daylight illuminance distributions

Published:2020-01-02 Issue:1 Volume:13 Page:122-135
ISSN:1940-1493
Container-title:Journal of Building Performance Simulation
language:en
Short-container-title:Journal of Building Performance Simulation

Author:

Kent Michael G.¹^ORCID,Schiavon Stefano²^ORCID,Jakubiec John Alstan³^ORCID

Affiliation:

1. Berkeley Education Alliance for Research in Singapore, Singapore

2. Center for the Built Environment, University of California, Berkeley, CA, USA

3. John H. Daniels Faculty of Architecture, Landscape, and Design, University of Toronto, Toronto, Canada

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modelling and Simulation,Building and Construction,Architecture

Link

https://www.tandfonline.com/doi/pdf/10.1080/19401493.2019.1711456

Reference53 articles.

1. A New Measure of Uniformity for Lighting Installations

2. Standardization and Transformation in Principal Component Analysis, with Applications to Archaeometry

3. Utilance values and uniformity in a model room

4. Model-based clustering of high-dimensional data: A review

5. High-dimensional data clustering

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4. Automation and optimization in daylight analysis and life cycle assessment for automated daylight monitoring device for a metro rail station box in Ahmedabad, India;International Journal of Construction Management;2024-02-13

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