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2 votes
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159 views

Normalization/standardization impact on T-SNE and K-means

I have a dataset of 20K samples on 27 features that I am trying to cluster with k-means. The dataset is in its majority rather sparse, i.e. 98% of samples have a single nonzero value in one of its ...
Seifbb's user avatar
  • 21
2 votes
0 answers
457 views

Standardizing non-normal data for use in distance-based classifier

I have a dataset containing non-normally distributed variables that I want to feed into a distance-based classifier (e.g. K-means). Is it ok to just subtract the mean and divide by the standard ...
DLaw's user avatar
  • 155
1 vote
0 answers
25 views

k-means and (re?) standardisation of a sub-set

I have data which is customer purchases of items in each of three months: I have summed the data over the three months for each customer; calculated the proportion of purchases that each item ...
Stephen Clark's user avatar
1 vote
0 answers
1k views

Standardizing Percentages and raw data

Apologies for what looks like a easy question but i'm a doing a geodemogrpahic classification and i'm about to run my cluster analysis. Most of my data is in percentages (ie %black,white,asian etc) ...
Delta1x's user avatar
  • 11
1 vote
0 answers
152 views

Standardizing variables for k-means?

I only have two variables and they are on the same scale. However, the variance corresponding to the first variable is approximately 0.609, whereas for the second variable is 0.154. So my question is ...
Grid's user avatar
  • 111