Discuss the differences between dimensionality reduction based on aggrega- tion and dimensionality reduction based on techniques such as PCA and SVD.

What will be an ideal response?


The dimensionality of PCA or SVD can be viewed as a projection of the
data onto a reduced set of dimensions. In aggregation, groups of dimensions
are combined. In some cases, as when days are aggregated into months or
the sales of a product are aggregated by store location, the aggregation can
be viewed as a change of scale. In contrast, the dimensionality reduction
provided by PCA and SVD do not have such an interpretation.

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What output is produced by the following code fragment?

``` for (int val = 200; val >= 0; val -= 1) if (val % 4 != 0) System.out.println(val); ```

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In order to view a zipped file, you must ________ the file

A) extract B) save C) compress D) view

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Consider the following definition of a recursive method.      public static int foo(int n)          //Line 1      {                                        //Line 2         if (n == 0)                      //Line 3                return 0;                      //Line 4         else                                  //Line 5                return n + foo(n - 1);          //Line 6      }Which of the statements represent the base case?

A. Statements in Lines 3 and 4 B. Statements in Lines 5 and 6 C. Statements in Lines 3, 4, and 5 D. None of these

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It is a good practice to print column and row labels on each page

Indicate whether the statement is true or false

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