The phrase "approximation of data" is correct and usable in written English.
It can be used in contexts where you are discussing estimates or representations of data that are not exact but close enough for practical purposes.
Example: "The approximation of data collected from the survey indicates a trend towards increased customer satisfaction."
Alternatives: "data estimate" or "data representation".
The upper and lower approximations of data success probabilities are derived using the stochastic geometry theory for the cooperative energy and data transfer system.
Step 4. If the algorithm has converged (i.e. if the cluster centres do not change any more, or after a pre-set number of iterations), terminate; otherwise, go to step 2. Strictly speaking, this algorithm does not implement all properties set out for rough sets [21] and hence belongs to the reduced interpretation of rough sets as lower and upper approximations of data [22].
The approximation of the data distribution for data that is not considered i.i.d. is very cumbersome, making this assumption necessary for practical purposes as well.
A developable surface approximation procedure is employed to refine incident approximation planes of data points into developable strips.
Then, SVM, Rocchio and Naive Bayes algorithms are used as base classifiers to construct an ensemble classifier, which runs iteratively and exploits margins between positive and negative data to progressively improve the approximation of negative data.
The suboptimal performance of wavelets with regard to the approximation of multivariate data gave rise to new representation systems, specifically designed for data with anisotropic features.
This is in agreement with previous studies suggesting that even when the additivity assumption does not fit the data perfectly, in many cases, it gives a good approximation of the data (Benos et al., 2002; Zhao and Stormo, 2011).
However, mapping data to a tangent space only produces a first-order approximation of the data that can be distorted, especially in regions far from the origin of the tangent space.
With the common representation of multiple networks, we reconstruct them using (13) for the sampled data from P h2(t ) | h) which can be viewed as the approximation of original data.
