Suggestions(1)
Exact(4)
It is distribution-free, tractable, consistent and suitable for clustered designs and crossed designs.
Hierarchal regression models are more suitable for clustered data than conventional regression analyses that underestimate standard errors by assuming that observations from the same sites or providers are independent [ 29].
Logistic regression suitable for clustered data (apartments within buildings) indicated that perc levels on floors 1 4 were significantly more likely to exceed 100 μg/m in buildings located in minority neighborhoods (odds ratio = 6.7; 95% confidence interval, 1.5 30.5) than in nonminority neighborhoods.
Logistic regression suitable for clustered data indicated that apartment indoor air perc level is significantly more likely to exceed 100 μg/m in dry cleaner buildings located in minority neighborhoods (OR = 6.7; 95% CI, 1.5 30.5) compared with buildings located in nonminority neighborhoods.
Similar(56)
Based on this, the condition can be used to estimate an appropriate parameter which ensures the GMS algorithm to have its equilibriums suitable for clustering.
The reasons for why they are not suitable for clustering attributes are also described.
As a final example, we present a robust fuzzy clustering procedure based on the metrics defined in Section 4, which is suitable for clustering data points involving heavy-tailed nonGaussian processes.
Sets of weights may be produced by diverse methods, including Discrete Choice Experiments, and are suitable for clustering so long as they produce a full set of attribute weights for each individual.
Since data streams cannot be scanned several times and we cannot (randomly) access to the entire dataset all together, also these methods are not suitable for clustering data streams.
The cluster randomised design necessitates an analysis that is suitable for clustering.
Therefore, fuzzy clustering algorithm is more suitable for clustering proteins in PPI networks.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com