Feature selection for clustering.

Feature selection for clustering.

<p>2D T-SNE representations of the data for each of the 2 feature categories: CDR components only as features (<b>2A</b>) and cognitive scores only as features (<b>2B</b>). Each point in the scatter plot represents a visit with the colour indicating the global CDR score...

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Bibliographic Details
Main Author: Sayantan Kumar (20208872) (author)
Other Authors: Inez Y. Oh (20208875) (author), Suzanne E. Schindler (7057418) (author), Nupur Ghoshal (12019647) (author), Zachary Abrams (3509720) (author), Philip R. O. Payne (9958153) (author)
Published: 2024
Subjects:
Medicine
Neuroscience
Biotechnology
Mental Health
Virology
revealing new insights
ongoing temporal relationship
expensive imaging biomarkers
xlink "> dementia
dementia specialty clinics
dementia &# 8217
cognitive assessment scores
estimate subtypes within
driven unsupervised clustering
dementia using data
related dementia
dementia subtyping
driven subtypes
cognitive profiles
mild dementia
underlying heterogeneity
significant enough
results showed
recent research
patients seen
impair function
hierarchical clustering
finding data
examining heterogeneity
disease progression
different symptoms
different rates
daily living
current studies
clustering analysis
baseline visits
allowing us
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