• DIVCLUS-T

  • Referenced in 5 articles [sw02736]
  • designed for either numerical or categorical data. Like the Ward agglomerative hierarchical clustering algorithm...
  • mix

  • Referenced in 5 articles [sw23673]
  • Estimation/Multiple Imputation for Mixed Categorical and Continuous Data. Estimation/multiple imputation programs for mixed categorical...
  • clustrd

  • Referenced in 3 articles [sw17529]
  • reduction and clustering of continuous or categorical data. For continuous data, the package contains implementations ... analysis with K-means clustering. For categorical data, the package provides MCA K-means (Hwang...
  • PROC CATMOD

  • Referenced in 3 articles [sw12082]
  • CATMOD procedure performs categorical data modeling of data that can be represented by a contingency ... procedure provides a wide variety of categorical data analyses, many of which are generalizations...
  • TraMineR

  • Referenced in 7 articles [sw10507]
  • more generally the mining of sequence data in the field of social sciences. Though ... apply to many other kinds of categorical sequence data. It accepts many different sequence representations...
  • runmlwin

  • Referenced in 4 articles [sw23864]
  • runmlwin also allows fast estimation on large data sets for many of the more complex ... binary, count, ordered categorical and unordered categorical data; Fast estimation via classical and Bayesian methods...
  • rasterVis

  • Referenced in 3 articles [sw09325]
  • visualization methods for quantitative data and categorical data, with levelplot, both for univariate and multivariate...
  • extracat

  • Referenced in 2 articles [sw13273]
  • package extracat: Categorical Data Analysis and Visualization. Categorical Data Analysis and Visualization...
  • depmixS4

  • Referenced in 12 articles [sw08234]
  • Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture...
  • ECCLAT

  • Referenced in 2 articles [sw02548]
  • approach of clusters discovery in categorical data. We present a new approach for the discovery ... meaningful clusters from large categorical data (which is an usual situation, e.g., web data analysis...
  • AS 165

  • Referenced in 3 articles [sw14109]
  • discriminant function in Fortran for categorical data...
  • Delta

  • Referenced in 3 articles [sw28128]
  • agreement between two raters (categorical data...
  • jomo

  • Referenced in 3 articles [sw19482]
  • possibility of handling binary and categorical data through latent normal variables and the option...
  • SLIQ

  • Referenced in 48 articles [sw11759]
  • limiting their suitability for data mining large data sets. This paper discusses issues in building ... classifier that can handle both numeric and categorical attributes. It uses a novel pre-sorting ... techniques enables SLIQ to scale for large data sets and classify data sets irrespective...
  • crs

  • Referenced in 5 articles [sw14045]
  • handle a mix of continuous and categorical (discrete) data often encountered in applied settings...
  • bfa

  • Referenced in 20 articles [sw07430]
  • multivariate data. There is rich literature on their extension to mixed categorical and continuous variables...
  • MMDai

  • Referenced in 2 articles [sw19197]
  • Imputation for Incomplete Data. Fit incomplete categorical data with infinite mixture of multinomial distribution (Dunson...
  • depmix

  • Referenced in 7 articles [sw08233]
  • latent Markov models on mixed categorical and continuous (timeseries) data...
  • AlphaTwirl

  • Referenced in 1 article [sw30635]
  • summarizing event data into multivariate categorical data. AlphaTwirl is a Python library that summarizes large ... event data into multivariate categorical data, which can be regarded as generalizations of histograms ... configurable analysis code. The multivariate categorical data loaded as data frames are readily visualized...
  • MixedDataImpute

  • Referenced in 1 article [sw18615]
  • Missing Data Imputation for Continuous and Categorical Data using Nonparametric Bayesian Joint Models. Missing data ... imputation for continuous and categorical data, using nonparametric Bayesian joint models (specifically the hierarchically coupled...