query: Dimension reduction for discrete qualitative and aggregated variables
positive_passages.docid: 25535
positive_passages.text: Categorical Principal Component Analysis - using Count, Continuous, Ordinal variables together
negative_passages.docid: 76906
negative_passages.text: Penalized methods for categorical data: combining levels in a factor
negative_passages.docid: 30889
negative_passages.text: Classifying complex $2\times 2$ matrices up to similarity
negative_passages.docid: 34949
negative_passages.text: Generating a high-dimensional dataset where nearest neighbor becomes meaningless
negative_passages.docid: 9930
negative_passages.text: Correlations between continuous and categorical (nominal) variables
negative_passages.docid: 82962
negative_passages.text: Partial Ordering of Positive Definite Matrices
negative_passages.docid: 118434
negative_passages.text: Lift measure in data mining
negative_passages.docid: 142074
negative_passages.text: Solving linear regression with weights and constraints
negative_passages.docid: 29381
negative_passages.text: How to perform dimensionality reduction with PCA in R
negative_passages.docid: 7838
negative_passages.text: Coding categorical variables for regression
negative_passages.docid: 18487
negative_passages.text: Why are there only $n-1$ principal components for $n$ data if the number of dimensions is $\ge n$?
negative_passages.docid: 37464
negative_passages.text: Log form of variables and descriptive measures
negative_passages.docid: 77619
negative_passages.text: Generalizing variance to two dimensions
negative_passages.docid: 39839
negative_passages.text: Doing principal component analysis or factor analysis on binary data
negative_passages.docid: 33206
negative_passages.text: Derivation of Mode of grouped data
negative_passages.docid: 24616
negative_passages.text: Qualitative variable coding in regression leads to "singularities"
negative_passages.docid: 158202
negative_passages.text: Minimum dimension to hold $N$ points with given distances?