Your English writing platform
Discover LudwigSuggestions(5)
Exact(59)
The second most likely cluster identified 2123 municipalities, classified as "High High," mainly distributed in the southern part and in a less concentrated manner in the northeastern part.
The first most likely cluster included 2674 municipalities, classified as "Low Low," with a spatial distribution concentrated in the northwestern and central parts of the country.
The most likely cluster(s) are identified from comparing the number of events contained within the scanning window against the maximum value of the likelihood ratio test statistic.
The likelihood ratio is calculated for each cylinder and the scan statistic is the maximum likelihood ratio over all possible cylinders, again corresponding to the most likely cluster.
*M: the most likely cluster.
* M = most likely cluster; S = Secondary cluster.
A most likely cluster and 38 secondary clusters were identified.
A most likely cluster and four secondary clusters were identified.
For the purely spatial analyses, the most likely cluster was detected for each year.
The most likely cluster was the same as in the 50% analysis.
Spatial cluster analysis identified one most likely cluster and four secondary likely clusters.
More suggestions(15)
most likely weapons
most likely groups
most likely questions
most previous cluster
most likely change
most active cluster
most likely perpetrator
most appropriate cluster
most impure cluster
most stable cluster
most abundant cluster
most massive cluster
most likely employer
most peripheral cluster
most rostral cluster
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