Identification of sparse clusters.

<p>(A) Top: trace of the covariance matrix for each cluster, indicating cluster dispersion. The three highlighted clusters (in orange, green, and purple) correspond to the most dispersed clusters. Middle: percentage of the total number of segments contained in each cluster. Bottom: percentage...

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מידע ביבליוגרפי
מחבר ראשי:	Romain Fayat (22404831) (author)
מחברים אחרים:	Marie Sarraudy (22404834) (author), Clément Léna (620337) (author), Daniela Popa (645591) (author), Pierre Latouche (4249681) (author), Guillaume P. Dugué (17560534) (author)
יצא לאור:	2025
נושאים:	Genetics Neuroscience Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified subtle motor changes rodent neurophysiological devices providing unparalleled access parkinson &# 8217 inertial time series include orienting movements imposes environmental constraints computationally efficient change based probabilistic clustering unbiased behavioral analysis order behavioral structures view video tracking minimal computational cost elementary components remains candidate behavioral motifs statistically homogeneous segments behavioral phenotyping video recordings identified motifs grooming components computational neuroethology unsupervised framework point detection pipeline detects olfactory exploration motif sequence methodology offers limited scalability induced dyskinesia easily scalable current standard commonly integrated central challenge body kinematics
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Identification of sparse clusters.

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