normals1

A dataset containing 150 observations generated from a multivariate Normal
distribution. The distribution has mean vector (0, 4), each variable has unit
variance, and the variables are uncorrelated. This dataset is not clusterable.

datasets

Test for cluster tendency (clusterability) of a data set.
The methods implemented - reducing the data set to a single dimension using principal component analysis or computing
pairwise distances, and performing a multimodality test like the Dip Test or Silverman's Critical Bandwidth Test -
are described in Adolfsson, Ackerman, and Brownstein (2019) <doi:10.1016/j.patcog.2018.10.026>. Such methods can inform whether clustering algorithms
are appropriate for a data set.

Zachariah Neville

clusterability

Performs Tests for Cluster Tendency of a Data Set

Naomi Brownstein

Maya Ackerman

Andreas Adolfsson

normals1 function

A data frame with 150 rows and 3 variables:
<dl>
 <dt>x</dt>
<dd>x variable</dd> <dt>y</dt>
<dd>y variable</dd> <dt>cluster</dt>
<dd>Distribution from which the observation was sampled</dd>
</dl>

Format

Data generated from a single multivariate Normal distribution, 2 dimensions. — normals1

A data frame with 150 rows and 3 variables:
<dl>
 <dt>x</dt>
<dd>x variable</dd>

 <dt>y</dt>
<dd>y variable</dd>

 <dt>cluster</dt>
<dd>Distribution from which the observation was sampled</dd>


</dl>

normals1: Data generated from a single multivariate Normal distribution, 2 dimensions.

Description

Usage

Arguments

Format

Details