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PPanGGOLiN: depicting microbial diversity via a partitioned pangenome graph
The use of comparative genomics for functional, evolutionary, and epidemiological studies
requires methods to classify gene families in terms of occurrence in a given species. These …
requires methods to classify gene families in terms of occurrence in a given species. These …
A Comprehensive Survey on Recent Feature Selection Methods for Mixed Data: Challenges, Solutions and Future Directions
Feature selection plays a crucial role in data analysis, pattern recognition, and machine
learning by reducing feature dimensions, improving execution time, and enhancing model …
learning by reducing feature dimensions, improving execution time, and enhancing model …
[HTML][HTML] Grid-based clustering using boundary detection
Clustering can be divided into five categories: partitioning, hierarchical, model-based,
density-based, and grid-based algorithms. Among them, grid-based clustering is highly …
density-based, and grid-based algorithms. Among them, grid-based clustering is highly …
Pharmacoprint: A combination of a pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design
Structural fingerprints and pharmacophore modeling are methodologies that have been
used for at least 2 decades in various fields of cheminformatics, from similarity searching to …
used for at least 2 decades in various fields of cheminformatics, from similarity searching to …
[Retracted] An Ensemble Clustering Approach (Consensus Clustering) for High‐Dimensional Data
J Yan, W Liu - Security and Communication Networks, 2022 - Wiley Online Library
Due to the plurality of irrelevant attributes, sparse distribution, and complicated calculations
in high‐dimensional data, traditional clustering algorithms, such as K‐means, do not perform …
in high‐dimensional data, traditional clustering algorithms, such as K‐means, do not perform …
A phase angle-modulated bat algorithm with application to antenna topology optimization
J Dong, Z Wang, J Mo - Applied Sciences, 2021 - mdpi.com
This paper proposes a phase angle-modulated bat algorithm (P-AMBA) for high-
dimensional binary optimization. The idea was to reduce the optimization time by …
dimensional binary optimization. The idea was to reduce the optimization time by …
Information architecture: using best merge method, category validity, and multidimensional scaling for open card sort data analysis
Open card sorting is a widely used method in HCI for the design of user-centered
Information Architectures (IAs). This article proposes a new algorithm that combines the best …
Information Architectures (IAs). This article proposes a new algorithm that combines the best …
Latent skill mining and labeling from courseware content
A model that maps the requisite skills, or knowledge components, to the contents of an
online course is necessary to implement many adaptive learning technologies. However …
online course is necessary to implement many adaptive learning technologies. However …
Interactive information bottleneck for high-dimensional co-occurrence data clustering
Clustering high-dimensional data is quite challenging due to lots of redundant and irrelevant
information contained in features. Most existing methods sequentially or jointly perform the …
information contained in features. Most existing methods sequentially or jointly perform the …
Multi source data association clustering analysis based on symmetric encryption algorithm
H Wang - Mobile Networks and Applications, 2022 - Springer
Due to the low clustering accuracy of the existing methods, a multi-source data association
clustering method based on symmetric encryption algorithm is proposed. The multi-source …
clustering method based on symmetric encryption algorithm is proposed. The multi-source …