Explain Hierarchical clustering.

1.	Explain Hierarchical clustering.
Answer» This algorithm group objects into clusters based on similarities, and it is ALSO called HIERARCHICAL CLUSTER analysis. When hierarchical clustering is performed, we obtain a set of clusters that differ from each other. This clustering TECHNIQUE can be divided into two types: Agglomerative Clustering (which uses bottom-up STRATEGY to decompose clusters) Divisive Clustering (which uses a top-down strategy to decompose clusters)

Answer»

This algorithm group objects into clusters based on similarities, and it is ALSO called HIERARCHICAL CLUSTER analysis. When hierarchical clustering is performed, we obtain a set of clusters that differ from each other.

This clustering TECHNIQUE can be divided into two types:

Agglomerative Clustering (which uses bottom-up STRATEGY to decompose clusters)
Divisive Clustering (which uses a top-down strategy to decompose clusters)

Discussion

No Comment Found

Related InterviewSolutions

What's the difference between a data lake and a data warehouse?
Mention some of the statistical techniques that are used by Data analysts.
Explain N-gram
What are the advantages of using version control?
Write the difference between variance and covariance.
What do you mean by the K-means algorithm?
What do you mean by logistic regression?
Explain Hierarchical clustering.
Name some popular tools used in big data.
What do you mean by univariate, bivariate, and multivariate analysis?

Explain Hierarchical clustering.

Discussion

No Comment Found

Related InterviewSolutions

Reply to Comment