ionosphere_data

<p>This dataset contains 351 entries (radar readings from a system in goose bay laboratory) and 35 columns.
The 35th columns is the label columns identifying the entry as either good or bad. Additionally, the 2nd column
only contains 0's.</p>

datasets

Implements the Improved Expectation Maximisation EM* and the traditional EM algorithm for clustering
big data (gaussian mixture models for both multivariate and univariate datasets). This version
implements the faster alternative-EM* that expedites convergence via structure based data segregation.
The implementation supports both random and K-means++ based initialization. Reference: Parichit Sharma,
Hasan Kurban, Mehmet Dalkilic (2022) <doi:10.1016/j.softx.2021.100944>. Hasan Kurban,
Mark Jenne, Mehmet Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>.

Sharma Parichit

DCEM

Clustering Big Data using Expectation Maximization Star (EM*)
Algorithm

Kurban Hasan

Dalkilic Mehmet

ionosphere_data function

<p>A file with 351 rows and 35 columns of multivariate data in a csv file. All values are numeric.</p>

ionosphere_data: Ionosphere data: A dataset of 351 radar readings

Description

Usage

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Format