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TESI DOCTORAL - La Salle

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3.2. Random hierarchical consensus architectures<br />

where ⌊x⌉ denotes the operation of rounding x to the nearest integer (Hastad et al., 1988).<br />

The second option in equation (3.1) reduces the number of stages by one in the case that<br />

the penultimate RHCA stage already yields one consensus clustering, whereas the third one<br />

adds a supplementary stage so as to ensure the obtention of a single consensus solution at<br />

the output of the RHCA.<br />

Furthermore, the number of consensus solutions computed at the ith stage of the RHCA<br />

(where i ∈ [1,s]) is determined by the expression in equation (3.2).<br />

<br />

l<br />

Ki =max<br />

bi <br />

, 1<br />

(3.2)<br />

where ⌊x⌋ stands for the greatest integer less than or equal to x (i.e. the result of applying<br />

the floor function on number x).<br />

However, it is important to notice that it will only be possible to keep the mini-ensembles<br />

size constant all along the hierarchy (i.e. bij = b, ∀i ∈ [1,s]and∀j∈ [1,Ki]) when l is<br />

an integer power of b. In the likely case that this condition is not met, in the current<br />

implementation of RHCA we choose, for simplicity, integrating the spare clusterings2 of the<br />

ith RHCA stage into its last (i.e. the Kith) mini-ensemble, thus introducing a bounded<br />

increase of its size, as b ≤ biKi < 2b. Moreover, the size of the mini-ensemble input to the<br />

sth stage is set to be equal to the number of halfway consensus output by the penultimate<br />

RHCA stage, as defined in equation (3.3).<br />

⎧<br />

⎪⎨<br />

b if i

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