An analyst suggests that the lower the number of clusters, would give us the strongest and most meaningful result, as opposed to a large number of clusters. a. True
b. False

a. True

Explanation:

Various studies have shown that this is true. Clusters allow you to group together large sets of data into smaller groups in order to find similarities between all the data. Having a smaller number of clusters has been proven to allow you to discover much simpler similarities which can have a much greater impact. Larger sets can help in discovering more unique similarities but they do not have as large of an impact and are less meaningful. This is also why it is recommended to have a lower number of clusters when analyzing data sets.

there is no universally accepted definition of art. although commonly used to describe something of beauty, or a skill which produces an aesthetic result, there is no clear line in principle between (say) a unique piece of handmade sculpture, and a mass-produced but visually attractive item. we might say that art requires thought - some kind of creative impulse - but this raises more questions: for example, how much thought is required? if someone flings paint at a canvas, hoping by this action to create a work of art, does the result automatically constitute art?