K-mode clustering algorithm to analyze data in different categories
Autor: | Ajith GS, Joseph, Dinju V, Jomol Jose, Ashwin Tom |
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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 |
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