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Clustering design structure matrices: A comparison of methods using minimum description length
Amol Kulkarni
, Connor Jennings
, Michael Hoffman
, Erica Blanco
, Janis P. Terpenny
, Timothy Simpson
Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
Mechanical Engineering
Institute for Computational and Data Sciences (ICDS)
Materials Research Institute (MRI)
Research output
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Contribution to conference
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Paper
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peer-review
2
Scopus citations
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Dive into the research topics of 'Clustering design structure matrices: A comparison of methods using minimum description length'. Together they form a unique fingerprint.
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Keyphrases
Minimum Description Length
100%
Design Structure Matrix
100%
Clustered Designs
100%
Method Comparison
100%
Genetic Algorithm
75%
Hierarchical Clustering
50%
Divisive Clustering
50%
3D Structure
25%
Computationally Expensive
25%
Product Design
25%
Complex Structure
25%
Complex Networks
25%
Interaction Network
25%
Industrial Examples
25%
Overlapping Clusters
25%
Interaction between Components
25%
Subassembly
25%
End-of-life Disposal
25%
Modular Product Architecture
25%
Algorithm 2
25%
Engineering
Matrix Structure
100%
Genetic Algorithm
75%
Optimal Design
25%
Complex Structure
25%
Complex Networks
25%
Subassemblies
25%
Hierarchical Clustering
25%