which one is correct about clustering? group of answer choices top-down and divisive hierarchical are the same things agglomerative clustering works by recursively splitting the initial cluster into successive clusters moving down through a hierarchy it is mainly used for labeled features in hierarchical clustering you have to specify the number of clusters before start your analysis

The clustering algorithm uses an un-supervised approach in which the input is not labeled and the solution to a problem is determined by the algorithm's expertise from a set of practice problems. Automatically identifying natural grouping in data is involved. Clustering algorithms, in contrast to supervised learning (like predictive modeling), just analyze the input data and identify natural groups or clusters in feature space.

Data points are grouped as part of the machine learning approach known as clustering. We can put each data point into a certain group using a clustering algorithm given a set of data points.

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