Question

If a record data matrix has reduced number of columns after a transformation, the transformation has performed:

A. Data sampling
B. Dimensionality reduction
C. Noise cleaning
D. Discretization

Answer 1

Answer:

I think it is data sampling

Answer 2

DIMENSIONALITY REDUCTION

If a record data matrix has reduced number of columns after a transformation, the transformation has performed dimensionality reduction.

GETTING TO KNOW MORE ABOUT DIMENSIONALITY REDUCTION:

* The transfer of data from a high-dimensional space to a low-dimensional space so that the low-dimensional representation preserves some significant aspects of the original data, ideally near to its inherent dimension, is known as dimensionality reduction.

* Working with high-dimensional spaces can be inconvenient for a variety of reasons: raw data is generally sparse as a result of dimensionality's curse, and data analysis is usually computationally difficult (hard to control or deal with).

* Signal processing, voice recognition, neuro informatics, and bioinformatics are all domains that use dimensionality reduction to cope with huge numbers of observations and/or variables.

* Linear and nonlinear techniques are the two most popular types of methods. Feature selection and feature extraction are two types of approaches.