SLINK: An optimally efficient algorithm for the single-link cluster method
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Weighting dissimilarities to detect communities in networksClustering rfam 10.1: clans, families, and classesEfficient algorithms for fast integration on large data sets from multiple sources.Analysis of whole-brain resting-state FMRI data using hierarchical clustering approach.Systems biology in the context of big data and networks.Protein-spanning water networks and implications for prediction of protein-protein interactions mediated through hydrophobic effects.TE-Tracker: systematic identification of transposition events through whole-genome resequencingA density-based clustering approach for identifying overlapping protein complexes with functional preferencesSegmentation of elemental EDS maps by means of multiple clustering combined with phase identification.Robust tracking and quantification of C. elegans body shape and locomotion through coiling, entanglement, and omega bends.Ascertainment bias from imputation methods evaluation in wheatAccelerating Information Retrieval from Profile Hidden Markov Model Databases.FAMSA: Fast and accurate multiple sequence alignment of huge protein familiesStructural Study of Heterogeneous Biological Samples by Cryoelectron Microscopy and Image Processing.Inhibitory and excitatory axon terminals share a common nano-architecture of their Cav2.1 (P/Q-type) Ca(2+) channelsA tool set to map allosteric networks through the NMR chemical shift covariance analysis.An agglomerative hierarchical approach to visualization in Bayesian clustering problems.Quantitative arbor analytics: unsupervised harmonic co-clustering of populations of brain cell arbors based on L-measure.Insulin storage in hot climates without refrigeration: temperature reduction efficacy of clay pots and other techniques.Divisive hierarchical maximum likelihood clustering.Automatic detection and decoding of honey bee waggle dances.Inferring cellular regulatory networks with Bayesian model averaging for linear regression (BMALR)."Follow the leader": a centrality guided clustering and its application to social network analysis.A conversational program for hierarchic and non-hierarchic cluster analysis.The (black) art of runtime evaluation: Are we comparing algorithms or implementations?Density-based clusteringSemantic-Aware Location Privacy Preservation on Road NetworksHierarchically self-organizing visual place memoryRepresentative Selection in Nonmetric DatasetsEFFICIENCY OF HIERARCHIC AGGLOMERATIVE CLUSTERING USING THE ICL DISTRIBUTED ARRAY PROCESSORA Vibration Method for Discovering Density Varied ClustersThe blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectivesA mathematical approach to simulate spatio-temporal patterns of an insect-pest, the corn rootworm Diabrotica speciosa (Coleoptera: Chrysomelidae) in intercropping systems
P2860
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P2860
SLINK: An optimally efficient algorithm for the single-link cluster method
description
1973 nî lūn-bûn
@nan
1973 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
1973 թվականի հունվարին հրատարակված գիտական հոդված
@hy
1973年の論文
@ja
1973年論文
@yue
1973年論文
@zh-hant
1973年論文
@zh-hk
1973年論文
@zh-mo
1973年論文
@zh-tw
1973年论文
@wuu
name
SLINK: An optimally efficient algorithm for the single-link cluster method
@ast
SLINK: An optimally efficient algorithm for the single-link cluster method
@en
type
label
SLINK: An optimally efficient algorithm for the single-link cluster method
@ast
SLINK: An optimally efficient algorithm for the single-link cluster method
@en
prefLabel
SLINK: An optimally efficient algorithm for the single-link cluster method
@ast
SLINK: An optimally efficient algorithm for the single-link cluster method
@en
P3181
P356
P1433
P1476
SLINK: An optimally efficient algorithm for the single-link cluster method
@en
P2093
P3181
P356
10.1093/COMJNL/16.1.30
P577
1973-01-01T00:00:00Z