THE EFFICIENCY OF QUALITATIVE DATA CLUSTERING IN MEDICAL AND SOCIO-ECONOMIC SURVEYS - COMPARATIVE STUDY

• Main Authors: Cristina Gena Dascălu (Author), Magda Ecaterina Antohe (Author), Doriana Agop-Forna (Author), Petruta Siminiuc (Author), Norina Forna (Author)
• Format: Book
• Published: Romanian Society of Oral Rehabilitation, 2024-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Clustering is a complex data mining tool, useful to identify similarities in large amount of data, the medical databases being highly suitable in this regard. Our paper aims to compare the efficacy of two well-known clustering methods, the n-means algorithm and the classical hierarchical algorithm,...