Clustering is the process of grouping objects such that objects in the same group (cluster) are more similar to each other compared to those in different groups (clusters).

Clustering algorithms try to group similar objects in one cluster and the dissimilar objects far from each other.

Clustering is an unsupervised machine learning approach.

Textual Clustering

In Textual Clustering, textual data is converted into its matrix form using vectorization.
Text is represented numerically as vectors, and similarity in the text is compared by measuring the distance between these vectors. Objects near each other belong to the same cluster, and objects that are far from each other belong to different clusters.

Rubiscape provides four different clustering algorithms –

• Centroid Based Clustering
• Connectivity Based Clustering
• Density Based Clustering
• Incremental Learning