The phrase "amount of cluster" is not correct in standard written English.
It is typically used in contexts related to data analysis, statistics, or computing, but the correct term would be "number of clusters" or "size of the cluster."
Example: "The amount of cluster in the dataset was too large to analyze effectively."
Alternatives: "number of clusters" or "size of the cluster."
These three clustering methods are tested on experimental data sets where the amount of cluster dispersion and the cluster membership are controlled and known.
Thus, since not all the noise points are integrated into the clusters, the amount of cluster expansion is a bit smaller than the static case.
While a significant amount of cluster "mission creep" is linked to how the overarching system has employed clusters, UNICEF's own lack of consistency in advocating for cluster rationalization at country level is also a factor.
DiLoC was evaluated and compared with a similar clustering scheme, featuring the stability, amount of clustered nodes and network load.
The specific problem considered in the paper is maximization of cumulative harvest volume and amount of clustered late-seral forest.
It is shown that not only electron density increases after SPE, but also the amount of clusters.
The inset shows the percentages of monoclonal (green and no color) and polyclonal (mixture) cell aggregates in the total amount of clusters for cell grown in 4 and 6 mg/mL collagen concentrations.
EG reflects the amount of clustering in observed galaxies and the amount of distortion of galaxies caused by light bending as it passes through intervening matter, a process known as weak lensing.
Micro Raman spectroscopy and TEM analysis indicated that the DLC has an average amount of clustered sp2 bonding in the structure.
Simulation results show that, in comparison to other works, the proposed protocol achieved an increase in the average cluster head duration of around 18%, an increase of 13% of member vehicles, a decrease of 3% of cluster head changes, and a reduced amount of clusters by around 11%.
This study aims to investigate the influence of the amount of clustering [intraclass correlation (ICC) = 0%, 5%, or 20%], the number of events per variable (EPV) or candidate predictor (EPV = 5, 10, 20, or 50), and backward variable selection on the performance of prediction models.
