What Challenges are Associated with High Dimensional Data?
While high dimensional data offers numerous opportunities, it also presents significant challenges. One of the primary issues is the curse of dimensionality, where the volume of data can make it difficult to process and interpret. Additionally, high dimensional datasets often contain a lot of noise, requiring sophisticated data cleaning and preprocessing techniques. Another challenge is the need for advanced computational tools and algorithms to analyze and extract meaningful patterns from the data.
