I know that feature scaling is always a requirement for clustering algorithms. Currently I am implementing hierarchal clustering on this dataset, I will use only the annual income and the spending rate features. Now I am confused of whether to use feature scaling here, this is because both features approximately have the same scale, where the scale for annual income is [15-137] and the scale for spending rate is [1-100]. The two features have approximately same scale so do I still need to feature scale them ?
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This is not a programming question about implementation, so it is off-topic for Stack Overflow. For advice about which Stack Exchange sites you could use for asking about ML theory, please [read this](https://stackoverflow.com/tags/machine-learning/info) – David Buck Nov 28 '22 at 18:21