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In centroid models, vectors are assigned usually to a number k of fixed clusters.
Amongst other works, authors in [10] use fixed clusters and propose a simple PF approach but expand on the power allocation perspective.
Having static clusters, however, is sub-optimal as fixed clusters create cluster edges, instead of cell edges, in which the degradation could in fact become more pronounced.
The phenomenon is all the more acute when the number of fixed clusters is low.
Next, we fix the parameters of the p (a user defined parameter) most populous Gaussians and reselect a sample of n observations from, drawn according to a weighted distribution, where the probability of selecting a data point equals the probability that the data point does not belong to the already fixed clusters.
Table 2 Mahout algorithms and their execution times Algorithm Mahout command Fixed clusters Partial membership Execution Time (ms) K-means kmeans Y N 61096 Canopy canopy Y N 121178 K-means kmeans Fuzzy k-means fkmeans Y Y 644471 Dirichlet dirichlet N Y 15011080 LDA lda Y Y 3373535.
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The design of this Baseline study matching scalability with fixed 21-node cluster was created to test the limits of scalability of a fixed cluster resource.
As seen, rotating clustering outperforms fixed clustering for both scheduling metrics.
Figure 8 Execution time for several queries using fixed cluster nodes and 1 mile radius area.
To improve the bottleneck phenomenon, strategies of uneven fixed cluster and Mixed routing based on the features of long roadway are proposed.
As seen, while rotating clustering still outperforms fixed clustering in terms of sum rate, faster rotation (i.e., smaller T cl ) yields diminishing gains.
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