Question on Clustering in Simplified detection of urban types

[cdkang]

Hello,

I deeply appreciate your sharing momepy and Simplified detection of urban types.

I am wondering the part of Clustering. Could you explain how and why you did as below? Do you know any reference book or paper on it?

standardized = (percentiles_joined - percentiles_joined.mean()) / percentiles_joined.std()
standardized.head()

[martinfleis]

Hello, this step is standardising values across all columns to ensure they all spread within a roughly the same range of values. The K-Means is based on an Euclidean distance and without this step, characters with large values would overpower those with low.

Do you know any reference book or paper on it?
The whole example is based on this paper.

Fleischmann M, Feliciotti A, Romice O and Porta S (2021) Methodological Foundation of a Numerical Taxonomy of Urban Form. Environment and Planning B: Urban Analytics and City Science, doi: 10.1177/23998083211059835

If you want to read only on standardisation, Wikipedia is great - https://en.wikipedia.org/wiki/Standard_score

[cdkang]

Thank you so much for your information.