IEEE

Latin Hypercube Sampling and Spectral Clustering Based Typical Scenes Generation and Analysis for Effective Reserve Dispatch

Abstract: This paper proposes a typical scenes generation method based on Latin Hypercube Sampling (LHS) and spectral clustering (SC). The proposed method can realize efficient typical scenes ...
GitHub

Using Latin hypercube sampling for generating initial population of NSGA2

I want to run the NSGA-II in python interface with points generated by Latin hypercube sampling as initial position.. I would like to know how can I use data gain by Latin hypercube sampling gained by ...
Risk

Latin hypercube sampling with dependence and applications in finance

In Monte Carlo simulation, Latin hypercube sampling (LHS) (McKay et al (1979)) is a well-known variance reduction technique for vectors of independent random variables. The method presented here, ...
GitHub

plot_latin_hypercube_simple.py

# In order to initialize the LatinHypercube sampling class, the user needs to define a list of distributions # for each one of the parameters that need to be sampled. # Apart from the distributions ...
IEEE

Cluster Analysis in Machine Learning using Progressive Latin Hypercube Sampling

Abstract: This study adds to the recent research on classification and regression using Latin Hypercube Sampling (LHS) as well as on classification involving Progressive LHS (PLHS) by investigating ...