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Mean-variance analysis of the performance of spatial ordering methods
Akhil Kumar
Supply Chain and Information Systems
Institute for Computational and Data Sciences (ICDS)
Research output
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Contribution to journal
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Article
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peer-review
8
Scopus citations
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Dive into the research topics of 'Mean-variance analysis of the performance of spatial ordering methods'. Together they form a unique fingerprint.
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Keyphrases
Spatial Order
100%
Order Methods
100%
Spiral Method
100%
Mean-variance Analysis
100%
Clustering Methods
66%
Blocking Factor
66%
Geographic Information System
33%
Simulation Study
33%
Spatial Clustering
33%
Sample Variance
33%
Relative Performance
33%
Number of Clusters
33%
Performance Results
33%
Fractal Method
33%
Non-recursive
33%
Secondary Storage
33%
Naive Method
33%
Hilbert Method
33%
Recursive Clustering
33%
Disc Block
33%
Hilbert Fractal
33%
Location-based Big Data
33%
Cluster Performance
33%
Variance Value
33%
Geographical Information System Applications
33%
Computer Science
Geographical Information
100%
Analysis of Variance
100%
Clustering Method
100%
Information System
50%
Relative Performance
50%
Simulation Study
50%
Information System Application
50%
Secondary Storage
50%
Mathematics
Analysis of Variance
100%
Spiral
100%
Variance
66%
Clustering Method
66%
Geographical Information System
66%
Simulation Study
33%
Spatial Data
33%
Sample Variance
33%
Fractal
33%