query: Clustering with categorical and numeric data
positive_passages.docid: 12697
positive_passages.text: Clustering of mixed type data with R
negative_passages.docid: 18515
negative_passages.text: Clustering with a distance matrix
negative_passages.docid: 86254
negative_passages.text: Ordinal regression with categorical covariates and predictors
negative_passages.docid: 119566
negative_passages.text: Cluster large boolean dataset
negative_passages.docid: 75532
negative_passages.text: Beta coefficient interpretion with categorical and continuous predictors in a linear regression
negative_passages.docid: 104995
negative_passages.text: Evaluation measures of goodness or validity of clustering (without having truth labels)
negative_passages.docid: 81515
negative_passages.text: Method for generating correlated non-normal data
negative_passages.docid: 79467
negative_passages.text: Mapping k-means cluster centers and origins (measuring k-means accuracy)
negative_passages.docid: 31111
negative_passages.text: Graph clustering algorithms which consider negative weights
negative_passages.docid: 45578
negative_passages.text: How to use both binary and continuous variables together in clustering?
negative_passages.docid: 88083
negative_passages.text: How do I know my k-means clustering algorithm is suffering from the curse of dimensionality?
negative_passages.docid: 96906
negative_passages.text: Calculating statistics on subsets of data
negative_passages.docid: 72855
negative_passages.text: Histogram For Non-Numerical Data
negative_passages.docid: 118434
negative_passages.text: Lift measure in data mining
negative_passages.docid: 28414
negative_passages.text: Clustering on the output of t-SNE
negative_passages.docid: 13825
negative_passages.text: How do I determine k when using k-means clustering?
negative_passages.docid: 130037
negative_passages.text: correlation between categorical variables