Euclidean distance definiton lacks a square root

[patryk-kowalski95]

The current function definition is as follows:

    """Euclidean distance dissimilarity function"""
    if np.isnan(a).any() or np.isnan(b).any():
        raise ValueError("Missing values detected in numerical columns.")
    return np.sum((a - b) ** 2, axis=1)

whereas the Euclidean distance requires a square root. It should be:

    """Euclidean distance dissimilarity function"""
    if np.isnan(a).any() or np.isnan(b).any():
        raise ValueError("Missing values detected in numerical columns.")
    return np.sqrt(np.sum((a - b) ** 2, axis=1))

[nicodv]

This is a deliberate choice, see:

• https://en.wikipedia.org/wiki/K-means_clustering#Description
• https://en.wikipedia.org/wiki/Euclidean_distance#Squared_Euclidean_distance

[patryk-kowalski95]

Thank you for clarifying