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Edit: the last value you see is different to the others, that is simply the sum of transactions, not related to the categorical frequency count.

Example:

What is the best way to overcome this, drop rows where a 0 is seen across each category? Are these rows meaningless to clustering?

New to k-means. Thanks,

moved from: https://stackoverflow.com/questions/39130303/k-means-clustering-data-with-large-number-of-meaningless-values

The last value you see is different to the others, that is simply the sum of transactions, not related to the categorical frequency count.

Example:

What is the best way to overcome this, drop rows where a 0 is seen across each category? Are these rows meaningless to clustering?

moved from here

moved from: https://stackoverflow.com/questions/39130303/k-means-clustering-data-with-large-number-of-meaningless-values

moved from: https://stackoverflow.com/questions/39130303/k-means-clustering-data-with-large-number-of-meaningless-values

moved from here