Context and Motivation
I have researched online for an algorithm (independent of a programming language AND in the context of Machine Learning) that accepts images as inputs with the expectation that individual images contain tags in the form of semi-structured information (for example, in the JSON format) that identify physical objects inside each image.
My goal is to find a clustering algorithm that will cluster objects based on common occurences of strings (i.e. physical objects described by a word, for example 'tree', 'mountain', 'airport' etc) contained in the tags about the images AND NOT on the input features of individual images contained in the pixels.
My question is a binary question (Yes / No) - has such an algorithim been studied in published papers? If yes, can you refer me to a source or a list of sources that explores, explains, discusses, codes AND/OR contains instructions on how to implement the algorithm?
A set of images with semi-structured tags identifying physical objects in each indiviual image.
A set of clusters where images are grouped based on commonly occuring objects in the images.
Thanks and appreciation in advance.