What does prototype mean in clustering?

A prototype is an element of the data space that represents a group of elements. On the context of clustering (e.g. under a leaf), a cluster prototype serves to characterize the cluster, their elements.

1. What is prototype in clustering?
2. What is a prototype in machine learning?
3. What is K prototypes?
4. What are the prototypes of methods?

What is prototype in clustering?

In prototype-based clustering, a cluster is a group of objects in which some object is nearer to the prototype that represents the cluster than to the prototype of some other cluster. A simple prototype-based clustering algorithm that needs the centroid of the elements in a cluster as the prototype of the cluster.

What is a prototype in machine learning?

Model prototyping is the phase in machine learning model development lifecycle where data scientists iterate towards building best performing models through data loading, cleansing, preparation, feature engineering, model training, tuning and scoring so that it can be used in production environment to meet a business ...

What is K prototypes?

The k-prototypes algorithm is a hybrid clustering algorithm that can process Categorical Data and Numerical Data. In this study, the method of initial Cluster Center selection was improved and a new Hybrid Dissimilarity Coefficient was proposed.

What are the prototypes of methods?

Prototype methods are machine learning methods that use data prototypes. A data prototype is a data value that reflects other values in its class, e.g., the centroid in a K-means clustering problem.