16 approaches are designed to describe patterns and relati
16 - _______________ approaches are designed to describe patterns and relationships in large data sets with many observations of many variables.
a. Dimension reduction
b. Data mining
c. Data sampling
d. Unsupervised learning
16 - _______________ approaches are designed to describe patterns and relationships in large data sets with many observations of many variables.
a. Dimension reduction
b. Data mining
c. Data sampling
d. Unsupervised learning
16 - _______________ approaches are designed to describe patterns and relationships in large data sets with many observations of many variables.
a. Dimension reduction
b. Data mining
c. Data sampling
d. Unsupervised learning
Solution
Ans: d. Unsupervised learning
Unsupervised techniques is also called as desccriptive data mining.
Unsupervised learning approaches can be through of as high-dimensional descriptive analysis because they are designed to describe patterns and relationships in large data sets with many observations of amny variables.Without an explict outcome there is no definitive measure of accuracy
