data point

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data point

Informatics
A “hard” measurable value that can be graphed or included in a database.
 
Vox populi
Like many real terms, popular use has morphed “data point” into a bullet point in a lantern-slide presentation, or “any anecdote or opinion disguised as fact that can be used to persuade others”.
References in periodicals archive ?
The basic idea of the alternating location-allocation ALA is recalculating the centers or centroids of the clusters and reallocating of the data vectors to the closest center or centroid:
In the simplest case, p data vectors can be randomly selected as the initial centers or centroids.
1: Choose randomly s data vectors from V and form new set [V.
3: Run Algorithm 1 with the initial set [chi] and set of data vectors [V.
4: Run Algorithm 1 with the initial set [chi] for the whole set of data vectors V.
2: Initialize the sets of data vectors indexes [chi] : [chi] [subset] {[bar.
p] sets of data vectors indexes [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].
In the IB algorithms, at the start, all data vectors form individual clusters.
At each iteration, Step 3 selects one index of data vectors and eliminates it from the candidate solution.
In the root method, no changes to the original data vectors are required.
Note that a situation with a common reference limit lying outside one of the endpoints of the subgroups may be a rare occurrence of a bootstrap iteration process, corresponding perhaps to some very unlikely combinations among the stochastically constructed bootstrap data vectors, whereas the vast majority of the iterations could give unproblematic common reference limits that lie between the endpoints of both subgroups.
The root method does not require manipulation of the data vectors, but the distributions should be extrapolated at both ends to make sure that this method works in every situation, notably when the bootstrap resampling method is applied.