A vector of quantitative variables is a one-dimensional matrix or set of values where each value is positioned along a range (cf. vector of categorical variables). For example, if a house has 120m2 of living space and is built on 600m2 of land, these two facts make up a vector of continuous variables that describe it.
Quantitative variables can either be discrete (e.g. number of customer complaints) or continuous (e.g. size of a field).
- used by
- ALG_Actor-critic ALG_Adaptive resonance theory network ALG_Averaged one-dependence estimators ALG_Bayesian linear regression ALG_Bayesian network ALG_DBSCAN ALG_Decision tree ALG_Deep Q-network ALG_Discriminant analysis ALG_Expectation maximization ALG_Factor analysis ALG_Hierarchical clustering ALG_Latent semantic indexing ALG_Learning Vector Quantization ALG_Least Squares Regression ALG_Local outlier factor ALG_Local regression ALG_Logistic regression ALG_Long short-term memory network ALG_Markov random field ALG_Multidimensional scaling ALG_Multivariate adaptive regression splines ALG_Naive Bayesian Classifier ALG_Nearest Neighbour ALG_Neural actor-critic ALG_One Rule ALG_Perceptron ALG_Policy gradient estimation ALG_Principal component analysis ALG_Projection pursuit ALG_Radial basis function network ALG_Random forest ALG_Restricted Boltzmann machine ALG_Spherical k-means ALG_Stepwise Regression ALG_Support vector machine ALG_k-means ALG_k-medians ALG_k-medoids