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Which of the following situations can cause relatively the least challenge in obtaining good quality and domain relevant clusters based on the K - means
Which of the following situations can cause relatively the least challenge in obtaining good quality and domain relevant clusters based on the Kmeans clustering algorithm?
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Too many categorical attributes in the data
Too many attributes in the data
Too many records in the data
Too much data quality issues in the data
Too many numerical attributes in the data
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