Within this framework, four different sets of combination are performed with respect to the orientation of partition (X, Y, Z) and number of regions (1 2 99).
Given a repeated region (a string) x and a partition X = s1 s2... s k, the pseudo periodic score is where d is the edit distance, | s i | is the length of s i, and c is a factor that control the penalty of the two ends of the partition.
Input "list partition", and then select the existing partitions and delete all of them by typing "delete partition x" command.
Three robust significant main effects (network partitioning, wireless status, and connectivity) and one significant interaction (network partitioning X wireless status) were found.
In Section "Stage 2: partitions sampling", we obtain partitions x λ, k ( i ) with selection probability b λ, k ( i ) given by (22).
During Stage 1, we propose partitions x ~ λ, k ( i ), i = 1,…,N, from delay-Doppler bins associated with sensors u = 1,2.
We note that the sampled partitions x ~ λ, k ( i ) from Stage 1 are based on information provided from only two sensors.
We will use a little more convenient way to write y(x), by first partitioning x into its least significant k bits (v), and the remaining bits (u), such that x = 2 w-k ·u + v, (with 0 = u < 2 w-k and 0 = u < 2 k ).
When the partitions X and Y agree perfectly, the Rand Index is 1.
The partitioning X = [1| L| g] indicates that the design matrix is composed of three parts: 1 denotes a column-vector (corresponding to the intercept) containing ones, L is an n × p matrix corresponding to fixed covariates such as age and sex, and g typically consists of a single column-vector containing genotypes.
This implies that a partition of x into smaller boxes { x (1),⋯, x (m )} gives better enclosures of range(f; x ) through the union ∪ i = 1 m f (x (i ) ) as illustrated in Figure 4. Next we make the above statements precise in terms of the width and radius of a box x defined by wid x := x ¯ - x ¯ and rad x := (x ¯ - x ¯ )/2, respectively.
