Question

Clustering process works on _________ measure.

Answer 1

Answer:Clustering is done based on a similarity measure to group similar data objects together. This similarity measure is most commonly and in most applications based on distance functions such as Euclidean distance, Manhattan distance, Minkowski distance, Cosine similarity, etc. to group objects in clusters.

Explanation:

Answer 2

Clustering process works on unlabeled data measure.

Clustering can be viewed as the most prominent unsupervised training problem, so, as every other problem of this kind, it deals with getting a structure in a set of unlabeled data.

• A vague definition of clustering could be “the process of creating objects into groups whose constituents are similar in some way.”

• A cluster is, therefore, a group of objects which are “similar” among them also are “dissimilar” to the things belonging to different clusters.