In which Machine Learning Algorithm, data points with similar attributes
are grouped together?
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Agglomerative Clustering or the bottom-up approach assigns each data point as a cluster and aggregate the most similar clusters. This essentially means bringing similar data together into a cluster. Out of the two approaches, Divisive Clustering is more accurate.
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