In this paper, we present an approach to categorize potential suicide messages in social
media which is based on unsupervised learning. Our approach has five phases: the first two …

With the greatly increased demand for animal products, the global dairy sector has
experienced rapid expansion and intensification. The correspondingly increasing manure …

Abstract Background Assistive Technology for people with dementia living at home is not
meeting their care needs. Reasons for this may be due to limited understanding of variation …

Clustering represents a fundamental procedure to provide users with meaningful insights
from an original data set. The quality of the resulting clusters is largely dependent on the …

Lung cancer is the leading cause of cancer death. More than 238,340 new cases of lung
cancer patients are expected in 2023, with an estimation of more than 127,070 deaths …

In clustering problems where the objective is not based on specifically spatial proximity, but
rather on feature patterns and the semantic description, traditional internal cluster validation …

The potential for significant variability in potato (Solanum tuberosum L.) yield and quality
caused by soil properties can be employed as a foundation for site-specific soil …

Sažetak Evaluating internal Cluster Validity Index (CVI) is a critical task in clustering
research. Existing studies mainly employ the number of clusters (NC-based method) or …

For data analysis, the partitioning into groups based on data characteristics is crucial. This
process is called clustering and the result is a set of groups containing original data, where …

In the field of machine learning, cluster analysis has always been a very important
technology for determining useful or implicit characteristics in the data. However, the current …