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On the methodological framework of composite indices: A review of the issues of weighting, aggregation, and robustness
In recent times, composite indicators have gained astounding popularity in a wide variety of
research areas. Their adoption by global institutions has further captured the attention of the …
research areas. Their adoption by global institutions has further captured the attention of the …
Particle swarm optimization (PSO). A tutorial
Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired
by the collective behavior of social animals. In particle swarm optimization (PSO) the set of …
by the collective behavior of social animals. In particle swarm optimization (PSO) the set of …
Overview and comparative study of dimensionality reduction techniques for high dimensional data
The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …
capabilities are leading towards huge volume of data. The dimensions of data indicate the …
Digital economy development, corporate social responsibility and low‐carbon innovation
W Chen - Corporate Social Responsibility and Environmental …, 2023 - Wiley Online Library
The coordinated development of digitization and greening is the internal demand for the
comprehensive transformation and upgrading of enterprises worldwide. Based on data of …
comprehensive transformation and upgrading of enterprises worldwide. Based on data of …
SC3: consensus clustering of single-cell RNA-seq data
Single-cell RNA-seq enables the quantitative characterization of cell types based on global
transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly …
transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly …
How does digitization enable green innovation? Evidence from Chinese listed companies
The coordinated development of digitization and greening is an essential requirement for
the sustainable development of the global economy. With the rapid development of the …
the sustainable development of the global economy. With the rapid development of the …
Analysis of the human adult urinary metabolome variations with age, body mass index, and gender by implementing a comprehensive workflow for univariate and …
Urine metabolomics is widely used for biomarker research in the fields of medicine and
toxicology. As a consequence, characterization of the variations of the urine metabolome …
toxicology. As a consequence, characterization of the variations of the urine metabolome …
Principal component analysis
Principal component analysis is one of the most important and powerful methods in
chemometrics as well as in a wealth of other areas. This paper provides a description of how …
chemometrics as well as in a wealth of other areas. This paper provides a description of how …
Robust subspace learning: Robust PCA, robust subspace tracking, and robust subspace recovery
Principal component analysis (PCA) is one of the most widely used dimension reduction
techniques. A related easier problem is termed subspace learning or subspace estimation …
techniques. A related easier problem is termed subspace learning or subspace estimation …
Anomaly detection by robust statistics
Real data often contain anomalous cases, also known as outliers. These may spoil the
resulting analysis but they may also contain valuable information. In either case, the ability to …
resulting analysis but they may also contain valuable information. In either case, the ability to …