Zang, C. et al. A clustering approach for identification of enriched domains from histone modification ChIP-Seq data.
Zang, C.Z. et al. A clustering approach for identification of enriched domains from histone modification ChIP-Seq data.
We present a two-level SOFM-based clustering approach for regionalization of watersheds.
This paper presents a fuzzy clustering approach for predicting situations (functional states) in complex process industries.
We present a molecular clustering approach for the efficient incorporation of solvent design information into process synthesis in the integrated design of solvent/process systems.
Existing video segmentation methods can be classified into two groups: the shot change detection (SCD) approach for which thresholds have to be pre-assigned, and the clustering approach for which a prior knowledge of the number of clusters is required.
This study introduces self-organizing maps as a clustering approach for several measures in accounting that rely on local linear regression-based estimation models with an initial and essential clustering phase.
The combination of thresholding approaches, for segmenting the soil and the sky, makes the second contribution; finally the adjusting of the supervised fuzzy clustering approach for identifying sub-textures automatically, makes the third finding.
A novel cell clustering approach for polynomial reconstruction in the vicinity of the small cells is proposed and is shown to achieve smooth representation of flow field quantities and their derivatives on immersed interfaces.
We obtain a clustering approach for trees by implementing classical statistical tests on this parameter, thus providing well balanced drawings of trees offering better aspect ratios which can be useful when dealing with large, irregular hierarchical data.
