K-mode clustering algorithm to analyze data in different categories

Autor: Ajith GS, Joseph, Dinju V, Jomol Jose, Ashwin Tom
Rok vydání: 2019
Předmět:
DOI: 10.5281/zenodo.7042522
Popis: Now a days data mining and knowledge acquisition has emerged as an important process. The data that is used can be a mixture of several categories and of very large size. So, to cluster such data sets, simple or numerical clustering algorithm cannot be used. For that, a clustering algorithm to cluster large data sets of categorical data : K-mode clustering algorithm is designed. It cluster very large categorical data and gives an optimal solution.
Databáze: OpenAIRE