Module: ClusterKit::Preprocessing

Defined in:
lib/clusterkit/preprocessing.rb

Overview

Data preprocessing utilities

Class Method Summary collapse

Class Method Details

.normalize(data, method: :standard) ⇒ Array

Normalize data using specified method

Parameters:

  • data (Array) —

    Input data (2D array)

  • method (Symbol) (defaults to: :standard) —

    Normalization method (:standard, :minmax, :l2)

Returns:

  • (Array) —

    Normalized data

Raises:

  • (ArgumentError) 


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# File 'lib/clusterkit/preprocessing.rb', line 13

def normalize(data, method: :standard)
  raise ArgumentError, "Unsupported data type: #{data.class}" unless data.is_a?(Array)
  
  case method
  when :standard
    standard_normalize(data)
  when :minmax
    minmax_normalize(data)
  when :l2
    l2_normalize(data)
  else
    raise ArgumentError, "Unknown normalization method: #{method}"
  end
end

.pca_reduce(data, n_components) ⇒ Array

Reduce dimensionality using PCA before embedding

Parameters:

  • data (Array) —

    Input data

  • n_components (Integer) —

    Number of PCA components

Returns:

  • (Array) —

    Reduced data

Raises:

  • (NotImplementedError) 


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# File 'lib/clusterkit/preprocessing.rb', line 32

def pca_reduce(data, n_components)
  # Note: This would require SVD implementation in pure Ruby
  # For now, raise an error suggesting to use the Rust-based SVD module
  raise NotImplementedError, "PCA reduction requires the SVD module which needs to be called directly"
end