Explain CLUSTERING: Any unsupervised algorithm for dividing up data instances into groups—not a predetermined set of groups, which would make this classification, but groups identified by the execution of the algorithm because of similarities that it found among the instances. The center of each cluster is known by the excellent name “centroid.” See also classification, supervised learning, unsupervised learning, k-means clustering.
Different definitions in web development like clustering in Dictionary C.
- Manual Cross-Validation:
- Meaning with an algorithm, “the name given to a set of techniques that divide up data into training sets and test sets. The training set is given to the algorithm, along with the correct answers... and clustering definition.
- Manual Classification:
- Meaning of which of two or more categories an item falls under; a classic machine learning task. Deciding whether an email message is spam or not classifies it among two categories, and analysis of data clustering explain.
- Manual Continuous Variable:
- Meaning value can be any of an infinite number of values, typically within a particular range. For example, if you can express age or size with a decimal number, then they are continuous variables. In a clustering what is.
- Manual Confidence Interval:
- Meaning around an estimate to indicate margin of error, combined with a probability that a value will fall in that range. The field of statistics offers specific mathematical formulas to calculate confidence clustering meaning.
- Manual Coefficient:
- Meaning algebraic symbol prefixed as a multiplier to a variable or unknown quantity (Ex.: x in x(y + z), 6 in 6ab”[websters] When graphing an equation such as y = 3x + 4, the coefficient of x determines the clustering abbreviation.
