A deep density based and self-determining clustering approach to label unknown traffic

Mehrnoosh Monshizadeh, V. K., Kantola, R., & Yan, Z. (2022). A deep density based and self-determining clustering approach to label unknown traffic.

Type

Unclassified

Intellectual base

Unclassified

Year

2022

DOI

10.1016/j.jnca.2022.103513

Link

https://doi.org/10.1016/j.jnca.2022.103513

Cited by

1 citation across 1 artifact.

Domain-specific

• Silhouette (clustering)
  • … demonstrates that cluster assignments, dissimilarity metric, treatment of singleton clusters, neighboring-cluster rule, and aggregation are fixed before interpreting the bounded score. to An applied instance preserves the same invariant under a changed scale, notation, jurisdiction, dataset, or implementation..

Verification

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