DONKEY: A Flexible and Accurate Algorithm for Clustering
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.4c01750
Abstract: We propose an accurate clustering algorithm suitable for the varied and multidimensional data sets that correspond to temporal snapshots from on-the-fly nonadiabatic trajectory-based simulations of photoexcited dynamics. The algorithm approximates the underlying probability density function… read more here.
Keywords: algorithm clustering; flexible accurate; algorithm; accurate algorithm ... See more keywords
DACE: a scalable DP‐means algorithm for clustering extremely large sequence data
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btw722
Abstract: Motivation: Advancements in next‐generation sequencing technology have produced large amounts of reads at low cost in a short time. In metagenomics, 16S and 18S rRNA gene have been widely used as marker genes to profile… read more here.
Keywords: dace; algorithm clustering; sequencing data; means algorithm ... See more keywords
An Optimal and Stable Algorithm for Clustering Numerical Data
Sign Up to like & getrecommendations! Published in 2021 at "Algorithms"
DOI: 10.3390/a14070197
Abstract: In the conventional k-means framework, seeding is the first step toward optimization before the objects are clustered. In random seeding, two main issues arise: the clustering results may be less than optimal and different clustering… read more here.
Keywords: stable algorithm; amh algorithm; algorithm; algorithm clustering ... See more keywords