intTransitionCan-class

intTransitionCan

object

Class containing results of Internal Transition of survived clusters from first clustering \(\xi_1\).

Monitor and trace changes in clustering solutions of accumulating datasets
at successive time points. The clusters can adopt External and Internal transition at
succeeding time points. The External transitions comprise of Survived, Merged, Split,
Disappeared, and newly Emerged candidates. In contrast, Internal transition includes changes
in location and cohesion of the survived clusters. The package uses MONIC framework developed by
Spiliopoulou, Ntoutsi, Theodoridis, and Schult (2006)<doi:10.1145/1150402.1150491> .

Muhammad Atif

clusTransition

Monitor Changes in Cluster Solutions of Dynamic Datasets

intTransitionCan-class function

<dl class="dl-horizontal">
<dt><code>Location.diff</code></dt><dd>Vector of integers containing difference in location (= Distance bw cluster centers/min(rx,ry)).</dd></dl><dt><code>Compactness.diff</code></dt><dd>Vector of integers containing Change in density of survived clusters (d(rx, ry)).</dd><dt><code>Location_thrHold</code></dt><dd>Minimum value of threshold for shift in location.</dd><dt><code>Density_thrHold</code></dt><dd>Minimum value of threshold for change in density.</dd><dt><code>ShiftLocCan</code></dt><dd>Vector of integers containing Survived candidates with shift in their location.</dd><dt><code>NoShiftLocCan</code></dt><dd>Vector of integers containing Survived candidates with no Shift in their Location.</dd><dt><code>MoreCompactCan</code></dt><dd>Vector of integers containing Survived Candidates Which becomes more compact.</dd><dt><code>MoreDiffuseCan</code></dt><dd>Vector of integers containing Survived Candidates Which becomes more diffuse.</dd><dt><code>NoChangeCompactCan</code></dt><dd>Vector of integers containing Survived candidates with no change in compactness.</dd>

intTransitionCan-class: Internal Transition Candidates

Description

Arguments

Slots