… the multi-view information by fusing partitions. Specifically, we align each partition to form a
consensus cluster … Moreover, a weight is assigned for each view to account for the clustering …

… as a perturbation of the consensus clustering, and the multiple partitions are integrated by …
partition of each view as a perturbation of the consensus clustering, and the multiple partitions …

… propose a novel multi-view clustering method termed partially view-aligned clustering (PVC)…
For Caltech101-20, Reuters and Scene-15, we randomly split them into two partitions ({A(v), …

… alignment module also shows significant clustering performance improvement applying to
existing multi-… seeks to fuse partition level information where multiple clustering results can …

… ) We cluster the alignment graph with MCL. This example shows two violations: the pink-outlined
cluster … 1 and partitions the vertices into disjoint clusters. In essence, the purpose of this …

… Herein, we develop an unsupervised aligned pattern clustering tool to facilitate the …
demonstrate that our method is as effective as multiple sequence alignments for motif discovery. In …

… , a new and practical multiple alignment algorithm for protein … pair hidden Markov models
and partition functions to calculate … the new cluster z, formed by merging two existing clusters x …

… heuristic to apply multiple alignment to sequences in a cluster. … If sequences in a cluster
C are aligned in the density-… can be partitioned into multiple clusters by ApproxMAP. One …

… graph-clustering based algorithm that aligns sequence sets … alignment quality similar to
the best progressive methods. … Columns of any multiple alignment form a partition of the set of …

… For instance, Figure 7 illustrates the correspondence of highly aligned clusters such as DB-2,
KM-5, HC-2, SOM-3, and XM-3. In terms of group stability based on the hot dimension, the …