Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN.

Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN.

<p>Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN.</p>

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Bibliographic Details
Main Author: Shahneela Pitafi (20454775) (author)
Other Authors: Toni Anwar (19999011) (author), I Dewa Made Widia (20454778) (author), Zubair Sharif (17767086) (author), Boonsit Yimwadsana (614577) (author)
Published: 2024
Subjects:
Science Policy
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
produce similar results
precise activity classification
manhattan distance formula
human activity recognition
comparative techniques failed
art techniques found
based spatial clustering
traditional dbscan algorithm
proposed model achieved
proposed model
subsequent clustering
model utilizes
varying densities
trained inceptionv3
societal security
silhouette score
research enhances
research contributes
physical locations
minimal points
intrusions around
handling high
future researchers
feature extraction
existing density
epsilon values
enhanced dbscan
dimensionality reduction
dimensional data
determined using
detection accuracy
analysis reveals
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Summary:<p>Overall comparison of proposed enhanced DBSCAN with other variants of DBSCAN.</p>

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