How can hierarchical clustering be used to uncover additional information from the Titanic dataset?
Hierarchical clustering is a powerful technique used in machine learning to uncover additional information from datasets. In the case of the Titanic dataset, hierarchical clustering can provide valuable insights into the underlying patterns and relationships among the passengers. To understand how hierarchical clustering can be applied to the Titanic dataset, let's first define what it
What are the two major forms of clustering?
In the field of Artificial Intelligence and Machine Learning, clustering is a widely used technique for grouping similar data points together based on their inherent characteristics. It is an unsupervised learning method that aims to discover patterns and relationships in the data without any predefined labels or categories. Two major forms of clustering that are