Suppose we have applied dimensionality reduction to a dataset of m examples {x(),x(2), ...,x(m)}, where x e R". As a result of this, we will have: O a. A lower dimensional dataset {z(1),z(2), ..., z(m)} of m examples where z) e R* for some value of k and k < n. A lower dimensional dataset {z), z(2),..., z()} of k examples where k n. O @),...,z(®} of k examples where k > n. d. A lower dimensional dataset {z(1),z

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Suppose we have applied dimensionality reduction to a dataset of m examples
{x(),x(2), ...,x(m)}, where x e R". As a result of this, we will have:
O a. A lower dimensional dataset {z(1),z(2),
..., z(m)} of m examples where z) e R*
for some value of k and k < n.
A lower dimensional dataset {z), z(2),..., z()} of k examples where k <n.
A lower dimensional dataset {z(1), z(2), ..., z(m)} of m examples where z e R*
for some value of k and k > n.
O @),...,z(®} of k examples where k > n.
d. A lower dimensional dataset {z(1),z
Transcribed Image Text:Suppose we have applied dimensionality reduction to a dataset of m examples {x(),x(2), ...,x(m)}, where x e R". As a result of this, we will have: O a. A lower dimensional dataset {z(1),z(2), ..., z(m)} of m examples where z) e R* for some value of k and k < n. A lower dimensional dataset {z), z(2),..., z()} of k examples where k <n. A lower dimensional dataset {z(1), z(2), ..., z(m)} of m examples where z e R* for some value of k and k > n. O @),...,z(®} of k examples where k > n. d. A lower dimensional dataset {z(1),z
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