Explain PRINCIPAL COMPONENT ANALYSIS: “This algorithm simply looks at the direction with the most variance and then determines that as the first principal component. This is very similar to how regression works in that it determines the best direction to map data to.”[kirk] See also regression.
Different definitions in web development like principal component analysis in Dictionary P.
- Manual Perl:
- Meaning An older scripting language with roots in pre-Linux UNIX systems. Perl has always been popular for text processing, especially data cleanup and enhancement tasks. See also scripting, data wrangling principal component analysis.
- Manual Probability Distribution:
- Meaning distribution for a discrete random variable is a listing of all possible distinct outcomes and their probabilities of occurring. Because all possible outcomes are listed, the sum of the probabilities principal component analysis.
- Manual Prior Distribution:
- Meaning inference, we assume that the unknown quantity to be estimated has many plausible values modeled by what's called a prior distribution. Bayesian inference is then using data (that is considered principal component analysis.
- Manual Pandas:
- Meaning A Python library for data manipulation popular with data scientists. See also Python principal component analysis.
- Manual P Value:
- Meaning probability, under the assumption of no effect or no difference (the null hypothesis), of obtaining a result equal to or more extreme than what was actually observed.”[goodman] “It’s a measure of principal component analysis.
