Mooney. Model- Based Overlapping Clustering. In Proceedings of KDD '05. ACM, 2005.A. Banerjee, C. Krumpelman, S. Basu, R. Mooney, and J. Ghosh. Model based overlapping clustering. In Proceedings Of The International Conference on Knowledge Discovery and Data Mining, 2005a....
Interpretability is the dominant feature of a fuzzy model in security-oriented fields. Traditionally fuzzy models based on expert knowledge have obtained well interpretation innately but imprecisely. Numerical data based fuzzy models perform well in prec
We further validate this visualization using embedding distance-based clustering (Supplementary Fig. 8). Many structural homologs of TnsC were not involved in transposition and this is reflected in distinct clusters of gray data points away from known TnsC (oranges) and TnsC-like structural ...
Other approach is known as Overlapping clustering, in this technique data is clustered on fuzzy sets based on some membership value. The other approach is hierarchical clustering technique. This algorithm starts by creating clusters of similar objects and finally each object is grouped into the ...
They are based on the assumption that cognition consists of discrete mental states (representations), which can be modeled as localist symbols (in contrast, in neural network-based models the representations are not discrete, but constitute distributed and potentially overlapping patterns of activation...
training the AI-based models is complex and time-consuming due to the vast data required for effective training. Secondly, the existing models cannot handle dynamic changes in the blood sample images, leading to inaccurate classifications. Moreover, the overlapping of cells, noise features, etc.,...
Most samples contain tens of thousands of peptides and measurements often reflect “overlapping” peptides, or co-eluting peptides having nearly the same mass-to-charge ratio. These overlapping peptides complicate and often prevent identification. However, recent experimental advancements provide ...
. Thus, 19 out of 42,i.e., 45.2% of the DPpGC—DEP couples were ascribed to an ALS risk (Fig.5A, B; Additional file7: Table S1), indicating triple DPpGC-DEP-GWAS risk associations. In comparison to the 28.0% of all up-DPpGCs that were overlapping with ALS risk gene annotations...
With advancements in sustainable urban development, research on urban functional areas has garnered significant attention. In recent years, Point-of-Interest, with their large volume of information and ease of acquisition, have been widely applied in res
Recently, Schäfer and coworkers [48] used CG-MARTINI and all-atom MD simulations to study the partitioning and clustering of transmembrane (TM) α-helices between the lo and ld domains in the ternary DPPC/DLiPC/cholesterol bilayer studied by Risselada and Marrink. As TM α-helices, WALP...