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Clustering in Machine Learning

Cluster analysis, or clustering, is an unsupervised machine learning task. It involves automatically discovering natural grouping in data
Clustering in Machine Learning

Clustering is basically a type of unsupervised learning method. An unsupervised learning method is a method in which we draw references from datasets consisting of input data without labelled responses. Generally, it is used as a process to find meaningful structure, explanatory underlying processes, generative features, and groupings inherent in a set of examples.
Clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group and dissimilar to the data points in other groups. It is basically a collection of objects on the basis of similarity and dissimilarity between them.

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Clustering is very much important as it determines the intrinsic grouping among the unlabeled data present

Read More about Clustering in detail....

Clustering in Machine Learning - Javatpoint
Clustering in Machine Learning with Machine Learning Tutorial, Machine Learning Introduction, What is Machine Learning, Data Machine Learning, Machine Learning vs Artificial Intelligence etc.
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