We vary the dimension k with fixed error tolerance ϵ = 0.1 for DCSS. Increasing the dimension increases the agreement between clusters.</p
Motivation: Many popular clustering methods are not scale-invariant because they are based on Euclid...
<p>Mean clustering coefficient (C<sub>p</sub>) and mean absolute path length (L<sub>p</sub>) over a ...
A Having shown that spectral clustering can find the MIB in time-series data from small networks, we...
Perfect agreement between cluster assignments has an ARI of 1. We vary the error tolerance ϵ with k ...
The color for each column represents whether the column is selected or not by k = 5, ϵ = 0.1 DCSS. T...
(A) The clustering time of different methods. (B) The ARI of different methods on three large datase...
(A) The NMI of different methods on simulated datasets with different sample sizes. The simulated da...
<p>Resulting clusters obtained by whole brain-based spatial statistics (WBSS) of MD, RD, and AD maps...
The four methods select many of the same columns. Recall from the toy example in Eq 8 that changing ...
(A) Stress evaluation under the different number of dimensions for RSV distance matrix. Stress less ...
<p>Resulting clusters obtained by whole brain-based spatial statistics (WBSS) of FA maps from APP mi...
(A) The clustering runtime of each method on all twelve datasets. (B-C) Accuracy of different method...
(A) The differences between Secuer and U-SPEC. Here the number of clusters K in Secuer is estimated ...
<p>(A) is the symmetric difference scores as a function of tuple size <i>k</i> for different dissimi...
ARI values listed below show the agreement measurement between original sample locations and cluster...
Motivation: Many popular clustering methods are not scale-invariant because they are based on Euclid...
<p>Mean clustering coefficient (C<sub>p</sub>) and mean absolute path length (L<sub>p</sub>) over a ...
A Having shown that spectral clustering can find the MIB in time-series data from small networks, we...
Perfect agreement between cluster assignments has an ARI of 1. We vary the error tolerance ϵ with k ...
The color for each column represents whether the column is selected or not by k = 5, ϵ = 0.1 DCSS. T...
(A) The clustering time of different methods. (B) The ARI of different methods on three large datase...
(A) The NMI of different methods on simulated datasets with different sample sizes. The simulated da...
<p>Resulting clusters obtained by whole brain-based spatial statistics (WBSS) of MD, RD, and AD maps...
The four methods select many of the same columns. Recall from the toy example in Eq 8 that changing ...
(A) Stress evaluation under the different number of dimensions for RSV distance matrix. Stress less ...
<p>Resulting clusters obtained by whole brain-based spatial statistics (WBSS) of FA maps from APP mi...
(A) The clustering runtime of each method on all twelve datasets. (B-C) Accuracy of different method...
(A) The differences between Secuer and U-SPEC. Here the number of clusters K in Secuer is estimated ...
<p>(A) is the symmetric difference scores as a function of tuple size <i>k</i> for different dissimi...
ARI values listed below show the agreement measurement between original sample locations and cluster...
Motivation: Many popular clustering methods are not scale-invariant because they are based on Euclid...
<p>Mean clustering coefficient (C<sub>p</sub>) and mean absolute path length (L<sub>p</sub>) over a ...
A Having shown that spectral clustering can find the MIB in time-series data from small networks, we...