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Week 3 – clustering algorithms & report - #3
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Implementing algorithms to cluster tracks based on their features: - Preprocessing of feature values - Clustering techniques (Gaussian Mixed Models, k-Means and HDBSCAN) - Visualisation friendly outputs - Associated unit tests
LYang-uva
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May 27, 2026
LYang-uva
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LYang-uva
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Can the package be installed? -Yes
○ Is the vignette set up correctly? -Yes, the cells run in a logical order and the mock is installed before any feature call happens.
○ Did the unit tests set up with continuous integration run on GitHub? -yes
■ Did they pass? -yes
○ Anything else that comes to mind - Good job
kastute21
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May 27, 2026
kastute21
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kastute21
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Can the package be installed? - yep, all good
Is the vignette set up correctly? - yes
Did the unit tests set up with continuous integration run on GitHub? - yes, and good amount of tests, the coverage checker is a nice touch
Did they pass? - all passed
Anything else that comes to mind - great job
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Gaussian Mixture Model
k-Means
HDBSCAN
All deliver visualisation-friendly output for plotting within the GUI later.