Exact(8)
This is achieved through use of a reduced process superstructure where the role of splitting each adjacent key component pair is assigned to an individual separation column, greatly reducing the size and complexity of the problem.
Whenever the number of components is larger than m reduce or B i,jcomponent pair that has the smallest B i,j is merged so that the mean and covariance of the mixture is preserved.
In fact, the correlation of independent component pair IC20-IC155) isignificantlylowerwer in MO compared to HV (rho = 0.17 in MO vs rho = 0.41 in HV; FDR corrected, p < 0.05).
Corresponding to various u and v except for (u,v) = (0,0), 63 transition probability matrices are formed for each component pair, such as {Y, U}, {Y, V}, and {U, V}.
(iii) A feature vector is extracted from each component pair as explained in Section 5; i.e., there are ten feature vectors for each signal and each feature vector contains the following feature values: MO h → ( 1 ), MO w → ( 1 ), MO h → ( 2 ), MO w → ( 2 ), S h →, S w →, D h →, D w →, SH w →. (iv) SOTM clustering is used to train and then classify the signals in each class.
In this study several two-dimensional scatter plots were generated for each dataset using component pair combinations from the seven principal components.
Similar(52)
Blends with different component pairs were prepared by blending solutions.
The middle-level class includes components, or component pairs, which are faulty.
All component pairs were tested for 2 h of level walking; half were also subjected to 20 intermittent subluxation events.
Similarly, in order to lower feature dimensions, we average the 63 matrices for the three component pairs separately.
A set of 91 component pairs of near-fault forward-directivity ground motions recorded at soft as well as dense sites are selected.
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