select.seeds: Seed Selection Procedure

Description Usage Arguments Value See Also

Description

Seed selection procedure of the DBHC algorithm, also invokes size search algorithm for seed in size.search. Used in hmm.clust.

Usage

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select.seeds(sequences, log_space = FALSE, K, seed.size = 3,
  init.size = 2, print = FALSE, smoothing = 1e-04)

Arguments

sequences

An stslist object (see seqdef) of sequences with discrete observations.

log_space

Logical, parameter provided to fit_model for whether to use optimization in log space or not.

K

The number of seeds to select, equal to the number of clusters in a partition.

seed.size

Seed size, the number of sequences to be selected for a seed.

init.size

The number of HMM states in an initial HMM.

print

Logical, whether to print intermediate steps or not.

smoothing

Smoothing parameter for absolute discounting in smooth.probabilities.

Value

A partition as a list object with HMMs for the selected seeds.

See Also

Used in main function for the DBHC algorithm hmm.clust.


DBHC documentation built on May 2, 2019, 10:35 a.m.