CASA techniques imitate the human auditory filtering known as cochlear filtering, where time-frequency bins of the speech mixture are clustered using psychoacoustic cues such as the pitch period, temporal continuity, onsets and offsets, etc.
The gB1 + gB3 mixture was clustered into genotype gB3 for statistical purpose, since these strains had the same behavior in the study.
For inference, data were clustered using a mixture model [48] with a mixture of beta distributions [49], and the number of classes was determined by Bayesian information criterion (BIC) [50], [51].
These predicted groups of elements were clustered with the Mixture of Hidden Markov Models (MHMM), an unsupervised clustering method capable of modeling dependencies between neighboring positions in active motif cores [see Additional File 1 Section 3].
Using a data-driven recursively partitioned mixture model (RPMM), these CpG loci were clustered into 16 methylation classes based on like methylation pattern obtained from the array results, pruning the model after four splits to maintain power (Houseman et al. 2008).
Array data were clustered using Cluster 3.0.
We performed a non-spatial genetic mixture analysis using individuals and populations as basic units to be clustered.
Demographically, society is clustering.
Different clustering methods, including k-means, ISODATA and Gaussian Mixture, were selected.
In this case, the contribution of the rest of the spatial clusters in the mixture is and, respectively.
