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For example, when selecting a model with the k-nearest neighbourhood method, we don't need to know that the effective degrees of freedom is N/k, where N is the number of samples.
We subsequently performed log transformation, quantile normalisation, and imputation of missing values using the k-nearest neighbourhood method (k = 10).
The sorted neighbourhood method [ 24] sorts the records based on a sorting key and then moves a window of fixed size sequentially over the sorted records.
In order to examine the impact of waste picking on MSDs, the study adopted the nearest neighbourhood method of propensity score matching (PSM).
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This might be expected due to the similarity of gene/domain fusion and gene neighbourhood methods, compared to say co-expression, which leverages more distinct information.
Also, this is done by its simple clustering method of two phases, of which the first phase clusters data on an n-attribute key and the second phase applies the sorted-neighbourhood method within each cluster.
To use the space as an explanatory variable, we applied the Principal Coordinates of Neighbourhood Matrices method.
While most MRFs involve only local information extracted from a small neighbourhood, our method also allows a few long-range blocks to be involved in the labelling process.
In particular, the Variable Neighbourhood Descent method of Lamghari et al. (2014) was originally developed for open-pit mine planning, and has now been adapted to evaluate concentrator operational modes.
For the sake of brevity, the details of the neighbourhood analysis method are only briefly described here.
A phylogenetic tree was generated from original dataset with the aid of neighbourhood-joining method.
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CEO of Professional Science Editing for Scientists @ prosciediting.com