The purpose of this study is to analyze the possible relationship between industrial structure and economic development in rural areas South Korea. Accordingly, uses Herfindahl–Hirschman Index a two-step cluster analysis method conduct an empirical Chungcheongbuk-do as research object. results show that among 11 regions with concentrated structures, 2 changed from decentralized low employment 2...

We investigate the parameter estimation of regression models with fixed group effects, when variable is missing while group-related variables are available. This problem involves clustering to infer based on variables, and build a model target given eventually some additional variables. Thus, this can be formulated as joint distribution modeling The usual strategy for two-step approach starting...

MOTIVATION Because co-expressed genes are likely to share the same biological function, cluster analysis of gene expression profiles has been applied for gene function discovery. Most existing clustering methods ignore known gene functions in the process of clustering. RESULTS To take advantage of accumulating gene functional annotations, we propose incorporating known gene functions into a n...

The purpose of this study was to group districts/cities in Indonesia based on toddler nutrition problems.. research method used is Two Step Cluster, Fuzzy C-Means and K-Modes method. In the Cluster method, there are two stages carried out, namely Pre-Clustering Case Clustering. Ensemble K-modes methods, K-Modes. data secondary form under-five problems 2022. After analysis, grouping results obta...

Nanoclusters formed during natural aging cause the negative effect of the two-step aging in the age-hardenable Al-Mg-Si alloys. The relationship between the clustering behavior during natural aging and the two-step aging behavior was studied using the hardness, differential scanning calorimetry (DSC), electrical resistivity measurements, transmission electron microscopy (TEM) observation in the...

Continued rapid advancements in genomic, proteomic and metabolomic technologies demand computer-aided methods and tools to efficiently and timely process large amount of data, extract meaningful information, and interpret data into knowledge. While numerous algorithms and systems have been developed for information extraction (i.e. profiling analysis), biological interpretation still largely re...