144 related articles for article (PubMed ID: 29736237)
1. Merging
Peterson AD; Ghosh AP; Maitra R
Stat (Int Stat Inst); 2018; 7(1):. PubMed ID: 29736237
[TBL] [Abstract][Full Text] [Related]
2. Does Determination of Initial Cluster Centroids Improve the Performance of
Pourahmad S; Basirat A; Rahimi A; Doostfatemeh M
Comput Math Methods Med; 2020; 2020():7636857. PubMed ID: 32802153
[TBL] [Abstract][Full Text] [Related]
3. Clustering Molecular Dynamics Trajectories: 1. Characterizing the Performance of Different Clustering Algorithms.
Shao J; Tanner SW; Thompson N; Cheatham TE
J Chem Theory Comput; 2007 Nov; 3(6):2312-34. PubMed ID: 26636222
[TBL] [Abstract][Full Text] [Related]
4. A New-Fangled FES-k-Means Clustering Algorithm for Disease Discovery and Visual Analytics.
Oyana TJ
EURASIP J Bioinform Syst Biol; 2010; 2010(1):746021. PubMed ID: 20689710
[TBL] [Abstract][Full Text] [Related]
5. The k partition-distance problem.
Chen YH
J Comput Biol; 2012 Apr; 19(4):404-17. PubMed ID: 22468708
[TBL] [Abstract][Full Text] [Related]
6. Detecting clusters of different geometrical shapes in microarray gene expression data.
Kim DW; Lee KH; Lee D
Bioinformatics; 2005 May; 21(9):1927-34. PubMed ID: 15647300
[TBL] [Abstract][Full Text] [Related]
7. Adaptive Initialization Method for K-Means Algorithm.
Yang J; Wang YK; Yao X; Lin CT
Front Artif Intell; 2021; 4():740817. PubMed ID: 34901837
[TBL] [Abstract][Full Text] [Related]
8. Canonical PSO Based K-Means Clustering Approach for Real Datasets.
Dey L; Chakraborty S
Int Sch Res Notices; 2014; 2014():414013. PubMed ID: 27355083
[TBL] [Abstract][Full Text] [Related]
9. SHIPS: Spectral Hierarchical clustering for the Inference of Population Structure in genetic studies.
Bouaziz M; Paccard C; Guedj M; Ambroise C
PLoS One; 2012; 7(10):e45685. PubMed ID: 23077494
[TBL] [Abstract][Full Text] [Related]
10. Minimum entropy clustering and applications to gene expression analysis.
Li H; Zhang K; Jiang T
Proc IEEE Comput Syst Bioinform Conf; 2004; ():142-51. PubMed ID: 16448008
[TBL] [Abstract][Full Text] [Related]
11. Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.
Grotkjaer T; Winther O; Regenberg B; Nielsen J; Hansen LK
Bioinformatics; 2006 Jan; 22(1):58-67. PubMed ID: 16257984
[TBL] [Abstract][Full Text] [Related]
12. A comparison of clustering methods for biogeography with fossil datasets.
Vavrek MJ
PeerJ; 2016; 4():e1720. PubMed ID: 26966658
[TBL] [Abstract][Full Text] [Related]
13. Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach.
Chakraborty S; Das S
IEEE Trans Pattern Anal Mach Intell; 2022 Jun; 44(6):2894-2908. PubMed ID: 33360985
[TBL] [Abstract][Full Text] [Related]
14. Hybrid hierarchical clustering with applications to microarray data.
Chipman H; Tibshirani R
Biostatistics; 2006 Apr; 7(2):286-301. PubMed ID: 16301308
[TBL] [Abstract][Full Text] [Related]
15. Hierarchical Clustering Can Identify B Cell Clones with High Confidence in Ig Repertoire Sequencing Data.
Gupta NT; Adams KD; Briggs AW; Timberlake SC; Vigneault F; Kleinstein SH
J Immunol; 2017 Mar; 198(6):2489-2499. PubMed ID: 28179494
[TBL] [Abstract][Full Text] [Related]
16. K-Means Clustering With Natural Density Peaks for Discovering Arbitrary-Shaped Clusters.
Cheng D; Huang J; Zhang S; Xia S; Wang G; Xie J
IEEE Trans Neural Netw Learn Syst; 2023 Feb; PP():. PubMed ID: 37027748
[TBL] [Abstract][Full Text] [Related]
17. The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures.
Mihailović DT; Nikolić-Đorić E; Malinović-Milićević S; Singh VP; Mihailović A; Stošić T; Stošić B; Drešković N
Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266929
[TBL] [Abstract][Full Text] [Related]
18. Microarray data clustering based on temporal variation: FCV with TSD preclustering.
Möller-Levet CS; Cho KH; Wolkenhauer O
Appl Bioinformatics; 2003; 2(1):35-45. PubMed ID: 15130832
[TBL] [Abstract][Full Text] [Related]
19. Splitting Methods for Convex Clustering.
Chi EC; Lange K
J Comput Graph Stat; 2015; 24(4):994-1013. PubMed ID: 27087770
[TBL] [Abstract][Full Text] [Related]
20. Feature-guided clustering of multi-dimensional flow cytometry datasets.
Zeng QT; Pratt JP; Pak J; Ravnic D; Huss H; Mentzer SJ
J Biomed Inform; 2007 Jun; 40(3):325-31. PubMed ID: 16901761
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
