19.1 Clustering Setup

THIS SECTION IS UNDER DEVELOPMENT. PLEASE CHECK BACK LATER

20200902 The R packages used in this chapter include biclust (Kaiser et al. 2021).

# Load required packages from local library into the R session.

library(biclust)      # Bicluster analysis.
library(dplyr)        # Wrangling: glimpse() group_by() print() select() mutate().
library(rattle)       # Weather dataset.

The rattle::weatherAUS dataset is loaded into the template variable ds and further template variables are setup as introduced by Graham J. Williams (2017). See Chapter 8 for details.

dsname <- "weatherAUS"
ds     <- get(dsname)
    
nobs   <- nrow(ds)

vnames <- names(ds)
ds    %<>% clean_names(numerals="right")
names(vnames) <- names(ds)

vars   <- names(ds)
target <- "rain_tomorrow"
vars   <- c(target, vars) %>% unique() %>% rev()

It is always useful to remind ourselves of the dataset with a random sample:

ds  %>% sample_frac() %>% select(date, location, sample(3:length(vars), 5))

## # A tibble: 275,410 × 7
##    date       location      risk_mm rain_tomorrow max_temp pressure_3pm sunshine
##    <date>     <chr>           <dbl> <fct>            <dbl>        <dbl>    <dbl>
##  1 2021-11-04 Townsville        0   No                30.7        1013.     NA  
##  2 2015-05-19 WaggaWagga        9.6 Yes               19          1013.      1.6
##  3 2017-11-30 Richmond          0.2 No                31.7        1014.     NA  
##  4 2010-02-15 Hobart            0   No                25.5        1018.     12.4
##  5 2026-01-01 Sydney            3   Yes               21.5        1016.      0  
##  6 2025-07-07 Woomera           0   No                19.4        1016.     NA  
....

References

Kaiser, Sebastian, Rodrigo Santamaria, Tatsiana Khamiakova, Martin Sill, Roberto Theron, Luis Quintales, Friedrich Leisch, Ewoud De Troyer, and Sami Leon. 2021. Biclust: BiCluster Algorithms. https://doi.org/10.32614/CRAN.package.biclust.

Williams, Graham J. 2017. The Essentials of Data Science: Knowledge Discovery Using r. The r Series. CRC Press.

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