News for Package maotai

changes in version 0.1.5

• Following functions are added,
  • bmds : Bayesian Multidimensional Scaling.
  • cmds : Classical Multidimensional Scaling.
  • kmeanspp : k-means++ Algorithm for Clustering.
  • nem : Negative Eigenvalue Magnitude.
  • nef : Negative Eigenfraction.
  • tsne : t-Stochastic Neighbor Embedding.
• distgmm is removed for better composition of the package.

changes in version 0.1.4

• Update README for listing the available functions in the package.
• Corrected an Armadillo type-casting error.
• Corrected example visualization parameter settings.

changes in version 0.1.3

• Following functions are added,
  • boot.mblock : generate index for Moving Block Bootstrapping.
  • boot.stationary : generate index for Stationary Bootstrapping.
  • epmeans : EP-means algorithm for clustering empirical distributions.
  • weiszfeld : Weiszfeld algorithm for computing L1-median.

changes in version 0.1.2

• Following functions are added,
  • mmd2test : kernel two-sample test with Maximum Mean Discrepancy.

changes in version 0.1.1

• Following functions are added,
  • dpmeans : DP-means algorithm for clustering Euclidean data.
  • distgmm : distance measures between multiple samples using Gaussian mixture models.
  • ecdfdist : distance measures between multiple empirical cumulative distribution functions.

changes in version 0.1.0

• Package is first deployed.
• Initialize the following documentation,
  • NEWS for keeping record of updates.
  • README to briefly introduce the method.
• Initial set of functions are listed as follows,
  • lgpa : large-scale generalized Procrustes analysis.
  • lyapunov : solve Lyapunov equation.
  • matderiv : numerical approximation to gradient of a function with matrix argument.
  • pdeterminant : calculate the pseudo-determinant of a matrix.
  • shortestpath : find shortest path length using Floyd-Warshall algorithm.
  • sylvester : solve Sylvester equation.
  • trio : trace ratio optimization.