Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-
transcriptome profiling of each individual single cell in a cell population. A core analysis of …

Cluster ensembles have been shown to be better than any standard clustering algorithm at
improving accuracy and robustness across different data collections. This meta-learning …

Self-organizing map (SOM) was used to explore the spatial characteristics of water quality in
the middle and southern Fujian coastal area. Nineteen water quality variables (temperature …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

Many-objective optimization problems (MaOPs), in which the number of objectives is greater
than three, are undoubtedly more challenging compared with the bi-and tri-objective …

Human participation plays an essential role in most decisions when analyzing data. The
huge storage capacity and computational power of computers cannot replace the human …

Customers' purchase behavior may vary over time. Traditional collaborative filtering (CF)
methods make recommendations to a target customer based on the purchase behavior of …

We provide a comprehensive and updated survey on applications of Kohonen's self-
organizing map (SOM) to time series prediction (TSP). The main goal of the paper is to show …

In the past two decades, the heavy environmental loading has led to the deterioration of air
quality in Taiwan. The task of controlling and improving air quality has attracted a great deal …

In the recent era of increasing volume crimes, crime prevention is now one of the most
important global issues, along with the great concern of strengthening public security …