You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
WAvelet System Prediction [Jiang, Z., Sharma, A., & Johnson, F. (2020). Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling. Water Resources Research, 56(3), e2019WR026962.]
Geographically disaggregated data on low carbon technology deployment, electricity demand, meter density, and network infrastructure across Great Britain. Arranged at an LSOA level (~600 households). R scripts to generate and process this data.
This package intends to convert categorical features into numerical ones. This will help in employing algorithms and methods that only accept numerical data as input. The main motivation for writing this package is to use it in clustering assignments. https://ranibasna.github.io/NumericalTransformation/
Sammenlikning av to utvalg, variansanalyse og forsøksplanlegging. Bivariat normalfordeling, korrelasjon og enkel regresjon. Innføring i ikke parametriske og Bayesianske metoder. Eksempler fra ulike anvendelsesområder blir gitt. Utvalgte emner fra sannsynlighetsregning blir også dekket, transformasjon av tilfeldige variable, momentgenerende funks…
This study develops a new clustering method for high-dimensional zero-inflated time-series data by proposing a similarity measure based on Thick Pen Transformation. Two real data set considered were step count data and newly confirmed COVID-19 case data.