Question: suppose you are given a census data, where every data object corresponds to a houshold and the following continous attributes are used to characterize each

suppose you are given a census data, where every data object corresponds to a houshold and the following continous attributes are used to characterize each household:total houshold income, number of household residents, property value, number of bedrooms, and number of vehicles owened. supposed we are interested in clustering the households based on these attributes. explain why cosine in not a good measure for clustering the data

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