## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.width = 7,
  fig.height = 5
)

## ----setup--------------------------------------------------------------------
library(cyclicwave)
data(steel_industry)

## -----------------------------------------------------------------------------
data_thin    <- thin_data(steel_industry, step = 10)
numeric_data <- select_numeric_columns(data_thin)
data_scaled  <- normalize_features(numeric_data, method = "zscore")

dim(data_scaled)

## -----------------------------------------------------------------------------
true_labels <- label_by_quantile(data_thin$Usage_kWh,
                                 probs = c(1/3, 2/3))
table(true_labels)

## -----------------------------------------------------------------------------
feature_methods <- list(
  pca_only = function(d) {
    pca <- prcomp(d, center = FALSE, scale. = FALSE)
    pca$x[, 1:3]
  },
  pca_circular = function(d) {
    pca <- prcomp(d, center = FALSE, scale. = FALSE)
    phase <- compute_phase(d, axis = "feature")
    circ <- extract_circular_features(phase)
    cbind(pca$x[, 1:3], circ)
  }
)

## -----------------------------------------------------------------------------
cluster_methods <- list(
  dbscan_loose = list(fn = run_dbscan, params = list(eps = 0.5, min_pts = 8)),
  dbscan_tight = list(fn = run_dbscan, params = list(eps = 0.3, min_pts = 5))
)

## -----------------------------------------------------------------------------
comparison <- compare_methods(
  data            = data_scaled,
  feature_methods = feature_methods,
  cluster_methods = cluster_methods,
  metrics         = c("dbi", "accuracy", "n_clusters", "n_noise"),
  true_labels     = true_labels,
  normalize       = NULL,
  verbose         = FALSE
)

print(comparison)