Optimal Clustering of Pavement Segments Using K-Prototype Algorithm in a High-Dimensional Mixed Feature Space-Reference-Cited by-同舟云学术

Optimal Clustering of Pavement Segments Using K-Prototype Algorithm in a High-Dimensional Mixed Feature Space

Published:2021-07 Issue:4 Volume:37 Page:04021022
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Karimzadeh Arash¹^ORCID,Sabeti Sepehr¹^ORCID,Shoghli Omidreza²

Affiliation:

1. Ph.D. Student, Dept. of Engineering Technology and Construction Management, Univ. of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223. ORCID: .

2. Assistant Professor, Dept. of Engineering Technology and Construction Management, Univ. of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ME.1943-5479.0000910

Reference44 articles.

1. Feature normalization and likelihood-based similarity measures for image retrieval

2. Anastasopoulos P. 2009. “Infrastructure asset management: A case study on pavement rehabilitation.” Doctoral dissertation. School of Civil Engineering Purdue Univ.

3. Hierarchical asphalt pavement deterioration model for climate impact studies

4. Optimization of the maintenance strategies of roads in Morocco: calibration study of the degradations models of the highway development and management (HDM-4) for flexible pavements

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