This study investigates the application of clustering algorithms to data collected from color sensors providing frequency signals during the cultivation process. Continuous sampling allowed for ...

Text clustering is a foundational step in natural language processing (NLP), aimed at grouping similar documents based on shared lexical patterns. K-means remains a widely used algorithm due ... were ...

The large-scale, high-dimensionality of datasets poses major obstacles to effective and precise data clustering in the field of big data analytics. This work focuses on a well-known technique for ...

Last week, President Trump signed an executive order that would make it easier to include "alternative assets" like crypto, private equity, and real estate in retirement accounts. Is that a good idea?