Table 2 TASC parameters for the datasets.
From: Temporally aligned segmentation and clustering (TASC) framework for behavior time series analysis
Dataset | Values |
|---|---|
“Semi-synthetic” | \(M = ( - 10,10),\;{\text{L}}({\text{n}}) = ( - {\text{n}},10),\;\upalpha = 10^{R(n)} \;(R = [0.5, - 1]),\;\gamma = 4\) |
MotionMapper | \(M = \left( { - 10, 10} \right),\;{\text{L}} = \left( { - 5, 6} \right),\;\upalpha = 0.5,\;\gamma = 3.5\) |
Keypoint-MoSeq | \(M = \left( { - 5,5} \right),\;{\text{L}} = \left( { - 1,10} \right),\;\upalpha = 0.5,\;\gamma = 3\) |
“Rats” | \(M = \left( { - 5,5} \right),\;{\text{L}}\left( {\text{n}} \right) = \left( { - {\text{n}},10 - {\text{n}}} \right),\;\upalpha = \left[ {1.2,1.0,0.8,0.6} \right],\gamma = 2\) |
“Non-human” | \(M = \left( { - 2,3} \right),\;{\text{L}}\left( {\text{n}} \right) = \left( { - {\text{n}},2} \right),\;\upalpha = 0.1,\;\gamma = 3\) |
“Human” | \(M = \left( { - 1,2} \right),\;{\text{L}} = \left( { - 1,2} \right),\upalpha = \left[ {0.5,0.3,0.3} \right],\gamma = 3\) |
