lognormalised

The term "lognormalised" is not a standard, widely recognized term in mathematics, statistics, or computer science. It appears to be a portmanteau, likely combining "logarithm" and "normalised." Without further context, its precise meaning is ambiguous.

One possible interpretation is that "lognormalised" refers to a process involving the logarithm of data, followed by some form of normalization. Normalization is a technique used in data preprocessing to scale data to a standard range, often between 0 and 1, or to have a mean of 0 and a standard deviation of 1. Applying a logarithmic transformation to data can help to reduce the impact of extreme values, make skewed distributions more symmetric, and stabilize variance. Therefore, "lognormalised" could describe data that has undergone both a log transformation and a subsequent normalization procedure.

Another interpretation might relate to the log-normal distribution, which is a continuous probability distribution of a random variable whose logarithm is normally distributed. If "lognormalised" refers to data that is assumed to follow or has been transformed to approximate a log-normal distribution, it would imply a specific statistical modeling context. However, the absence of this term in standard statistical literature suggests it is either informal jargon or a specialized term within a particular field or project. If encountered, clarification from the source would be necessary to understand its exact application.