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A right angle indicates that two variables are completely uncorrelated; zero or 180 degrees between two variables indicates complete positive or negative correlation.
Since the centroid of cells in trajectories exhibits moderate spatial and temporal resolution, the turn detection algorithm required a threshold for minimal time (40 s) and angle (∼15 degrees) between two turns.
For this purpose, the user is able to set up a threshold and define the maximum distance in degrees between two fixations.
This calculates the distance in degrees between two points as d = √((X2-X1)+(Y2-Y1) where X1 Y1 are the decimal degree co-ordinates of one point, and X2 and Y2 are the co-ordinates of the second point.
Let us consider a random walk { G, G,…, Gt} on Σ G, starting at node G. Let Y i be the non-negative random variable whose value is the absolute value of difference of degrees between two neighbors G i and G i +1 on the walk, i.e. Y i = | d(G i ) − d(G i +1)|, 0 ≤ i < t.
Similar(55)
In fuzzy clustering, membership degrees between zero and one are used instead of crisp assignments of the data during clustering.
We measure agent-to-agent ties by preference correlation using the contribution degree of one agent to another and the preference similarity degree between two agents.
We can understand from Eq. (15) that optimal local advertising level decreases as the complement degree between two products increases.
The results showed that manufacturer's and retailer's profit decrease when the complementary degree between two products increases.
They showed that manufacturer's and retailer's profits decrease when the complementary degree between two products is large.
Here, absolute value reduction method is adopted to determine the similarity degree between two samples, namely, the similarity coefficient r ij (see formula (14)).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com