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In their study for clusters of equal sizes, Ward's method and complete linkage method, with very unequal cluster sizes centroid and average linkage method found best, respectively.
Villages with smaller populations were clubbed together while villages with larger populations were segmented so as to yield clusters of equal sizes.
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Here we describe the results for three of them, consisting in an artificial and two real networks: We prepared a synthetic graph of known community structure, in which 512 units were divided into 16 clusters of equal size.
From the distribution of motif occurrences, a z-score was calculated to express the enrichment or depletion of a given motif in a real cluster of genes compared with randomly-chosen clusters of equal size.
In these studies the authors reported the formation of clusters of equal-size drops, where the effect of the surface tension arises due to the formation of flocs.
However, in the multi-hop clustering model, if the nodes are uniformly distributed and the clusters are of equal size, the cluster heads closer to the sink have to relay much heavier traffic, leading to the "energy hole" problem.
If the clusters are of equal size ((n_{I_{1}} = n_{I_{2}})), then the solution branch shows the pattern ((0,x_{I_{1}},-x_{I_{1}})) (by uniqueness it suffices to show that such a branch exists).
In order to calculate the score of each cluster, we randomly partitioned the training data into 10 non-overlapping subsets of equal sizes (10 folds).
First, we parsed the trajectory into segments of equal sizes.
Briefly, the K-means clustering algorithm initially divides genes into a number of equal sized groups based on a user-defined number (k).
Similarly, all the genes in WHPN were divided into three subsets of equal size based on degrees and clustering coefficients.
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