Pergunta 1
What is the curse of dimensionality?
The curse of dimensionality refers to the challenges and increased computational requirements that arise when working with high-dimensional data. As the number of features increases, the data becomes more sparse, making it harder to generalize patterns.
Example:
In high-dimensional spaces, data points are more spread out, and distance metrics become less meaningful.
Salvar para revisao
Salvar para revisao
Adicione este item aos favoritos, marque-o como dificil ou coloque-o em um conjunto de revisao.
Faca login para salvar favoritos, perguntas dificeis e conjuntos de revisao.
Isto e util?
Adicionar comentario
Ver comentarios