Text clustering is a widely used application of clustering that is used in areas such as records, management systems, searches, and business intelligence.
In text clustering, the terms of the documents are considered as features in text clustering. The vector space model is an algebraic model that maps the terms in a document into n-dimensional linear space.
However, we need to represent textual information (terms) as a numerical representation and create feature vectors using the numerical values to evaluate the similarity between data points.
Each dimension of the feature vector represents a separate term. If a particular term is present in the document, then the vector value is set using the