What are the Challenges of Handling High Dimensional Data?
Managing and analyzing high dimensional data comes with several challenges: - Data Storage and Management: The sheer volume of data requires robust storage solutions and efficient data management practices. - Data Preprocessing: High dimensional data often contains noise and irrelevant features that need to be filtered out. - Computational Cost: Advanced algorithms for analyzing high dimensional data can be computationally intensive and require significant resources.
