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Comparison of distance metrics for hierarchical data in medical databases
Diman Hassan, Uwe Aickelin, Christian Wagner
School of Computer Science
Research output
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Contribution to conference
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Paper
4
Citations (Scopus)
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Dive into the research topics of 'Comparison of distance metrics for hierarchical data in medical databases'. Together they form a unique fingerprint.
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Keyphrases
Bioinformatics Data Mining
33%
Close Distance
33%
Clustering Algorithm
33%
Distance Metric
100%
Edit Distance
33%
Frequency Map
33%
Frequency Matrix
33%
Geometric Metrics
33%
Hamming Metric
33%
Health Improvement
100%
Hierarchical Data
100%
Hierarchical Structure
33%
Improvement Networks
100%
In Clustering
33%
K-means
33%
Medical Database
100%
Network Data
66%
Network Database
33%
Non-hierarchical
33%
Patient Data
33%
Patient Demographics
66%
Q-gram
33%
Similarity Data
33%
Tree Structure
33%
Whole Patient
33%
Computer Science
Computer Network
100%
Data Mining
50%
Distance Metric
100%
k-means Clustering
50%
Mean Clustering Algorithm
50%
Network Database
50%
Research Question
50%