Question 1 (1 point) The reason behind curse of dimensionality is: Computing power in recent years is still not capable enough to handle large- scale computation on high-dimensional data. The data points get exponentially closer to the center of the input space as the dimensions grow. The distances between any two data points become similar as the dimentions gows. Variations in data will increase dramatically as data dimension goes up, so that a machine learning model will have harder time training on the data