query: categorical data Analysis with too many levels
positive_passages.docid: 3989
positive_passages.text: Preprocess categorical variables with many values
negative_passages.docid: 86494
negative_passages.text: Mapping of categorical features into binary indicator features
negative_passages.docid: 77590
negative_passages.text: Highly unbalanced test data set and balanced training data in classification
negative_passages.docid: 157161
negative_passages.text: Hierarchical clustering with mixed type data - what distance/similarity to use?
negative_passages.docid: 141448
negative_passages.text: Horizontal Probability Tree with Level Labels
negative_passages.docid: 146816
negative_passages.text: Reducing resolution of huge categorical raster in QGIS?
negative_passages.docid: 132642
negative_passages.text: Categorize my data into 3 groups
negative_passages.docid: 31220
negative_passages.text: Finding predictors of upper level of a variable
negative_passages.docid: 154261
negative_passages.text: PCA when the dimensionality is greater than the number of samples
negative_passages.docid: 86254
negative_passages.text: Ordinal regression with categorical covariates and predictors
negative_passages.docid: 79801
negative_passages.text: Best way to capture historical changes between levels in a dimensional hierarchy
negative_passages.docid: 100267
negative_passages.text: Fit individual-level model on aggregate-level target-data
negative_passages.docid: 81918
negative_passages.text: Multicollinearity in Decision Tree
negative_passages.docid: 81515
negative_passages.text: Method for generating correlated non-normal data
negative_passages.docid: 69637
negative_passages.text: Random Forests and data transformations
negative_passages.docid: 9930
negative_passages.text: Correlations between continuous and categorical (nominal) variables
negative_passages.docid: 155274
negative_passages.text: Multicollinearity between categorical and continuous variable