Your English writing platform
Discover LudwigSuggestions(5)
Exact(3)
Dynamic Programming Algorithms (DPAs) can be developed in many dimension.
The intersection of all mean dimension reduction subspaces is called the central mean subspace (CMS), which we denote by (mathcal {S}_{text {E}(Y|mathbf {X})}.) For estimating the CS or the CMS, the following two conditions are assumed for many dimension reduction methods: 1. Linearity condition (text {E}(mathbf X |mathbf P _{mathcal {S}} mathbf X )) is a linear function of (mathbf X.) 2.
The most common approach, widely used in many dimension reduction problems is cophenetic correlation coefficient, as a quantitative measure of stability for clustering (Brunet et al., 2004).
Similar(57)
This problem has many dimensions.
His economic arguments themselves had many dimensions.
Diversity involves many dimensions.
Rudd's apology had many dimensions.
The couple was odd in many dimensions.
How many dimensions could he have added?
It travels through so many dimensions.
It was a trip of many dimensions".
More suggestions(2)
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