Search alternatives:
algorithm sphere » algorithm where (Expand Search), algorithm pre (Expand Search), algorithm shows (Expand Search)
sphere function » severe functional (Expand Search), reserve function (Expand Search)
algorithm from » algorithm flow (Expand Search)
from function » from functional (Expand Search), fc function (Expand Search)
algorithm b » algorithm _ (Expand Search), algorithms _ (Expand Search)
b function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
algorithm sphere » algorithm where (Expand Search), algorithm pre (Expand Search), algorithm shows (Expand Search)
sphere function » severe functional (Expand Search), reserve function (Expand Search)
algorithm from » algorithm flow (Expand Search)
from function » from functional (Expand Search), fc function (Expand Search)
algorithm b » algorithm _ (Expand Search), algorithms _ (Expand Search)
b function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
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Results of the application of different clustering algorithms to average functional connectivity from healthy subjects.
Published 2023“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”
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Results of searching performance of different algorithm models on the Sphere function and Griewank function.
Published 2021“…<p>Results of searching performance of different algorithm models on the Sphere function and Griewank function.…”
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Analogues on the Sphere of the Affine-Equivariant Spatial Median
Published 2020“…<p><b>Robust estimation of location for data on the unit sphere</b><math><mrow><mrow><mi>S</mi></mrow><mrow><mi>p</mi><mo>−</mo><mn>1</mn></mrow></mrow></math><b>is an important problem in directional statistics even though the influence functions of the sample mean direction and other location estimators are bounded. …”
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Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.
Published 2024“…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …”
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Example performance of the smooth-index algorithm.
Published 2024“…<b>D</b> Different cost functions as the algorithm performs the gradient descent. …”