
VFloat
 Referenced in 1 article
[sw33310]
 implementation of the Kmeans clustering algorithm applied to multispectral satellite images...

ClusterKDE
 Referenced in 4 articles
[sw36221]
 priori the number of cluster. Furthermore, the ClusterKDE algorithm is very simple, easy to implement ... numerical experiments which are obtained when our algorithm is implemented in the software Matlab ... known Clusterdata and Kmeans algorithms, used by Matlab to clustering data...

DENDIS
 Referenced in 2 articles
[sw33761]
 concepts to ensure space coverage and fit cluster shapes. At each step a new item ... distances have to be computed. The algorithm behavior is investigated using synthetic and realworld ... Rand Index, with both kmeans and hierarchical clustering algorithms...

wskm
 Referenced in 3 articles
[sw18037]
 Clustering. Entropy weighted kmeans (ewkm) is a weighted subspace clustering algorithm that is well ... level variable weighting clustering algorithm twkmeans (twkm) introduces two types of weights ... calculated during the clustering process. The feature group weighted kmeans (fgkm) extends this concept...

Ckmeans.1d.dp
 Referenced in 0 articles
[sw15783]
 programming algorithm for optimal univariate kmeans clustering. The algorithm minimizes the sum of squares ... withincluster distances. As an alternative to heuristic kmeans algorithms, this method guarantees optimality ... efficiency and accuracy over heuristic kmeans clustering is increasingly pronounced as the number...

coseq
 Referenced in 2 articles
[sw41337]
 clustered using adapted transformations and mixture models or a Kmeans algorithm, and model selection...

CLEMM
 Referenced in 1 article
[sw31323]
 consider parsimonious probabilistic mixture models where the cluster analysis can be improved by projecting ... CLEMM framework and the associated envelopeEM algorithms thus provide foundations for envelope methods ... Gaussian mixture models, Kmeans and hierarchical clustering algorithms. An R package is available...

AntClust
 Referenced in 10 articles
[sw01754]
 Gestalt” colonial odor. Similarly, our clustering algorithm associates an object of the data ... partition. We compare AntClust to the KMeans method and to the AntClass algorithm...

TREKS
 Referenced in 3 articles
[sw22483]
 REpeats in sequences with a KmeanS based algorithm. MOTIVATION: Over the last years ... computer programs which were based on different algorithms have been developed. Nevertheless, our tests showed ... clustering of lengths between identical short strings by using a Kmeans algorithm. Benchmark...

CGHPlotter
 Referenced in 9 articles
[sw07372]
 number is deleted or amplified using kmeans clustering and dynamic programming. The CGHPlotter ... order to operate. Details of the algorithms and instructions for use are given...

jClust
 Referenced in 1 article
[sw21913]
 widely used clustering and clique finding algorithms. The toolbox allows a range of filtering procedures ... kMeans, Affinity propagation, Bron–Kerbosch, MULIC, Restricted neighborhood search cluster algorithm, Markov clustering...

SymNMF
 Referenced in 15 articles
[sw12668]
 Kmeans. In this paper, we provide further interpretation of NMF as a clustering method ... study an extended formulation for graph clustering called Symmetric NMF (SymNMF). In contrast ... related to spectral clustering, justify SymNMF as a general graph clustering method, and discuss ... SymNMF and spectral clustering. We propose two optimization algorithms for SymNMF and discuss their convergence...

KmL
 Referenced in 12 articles
[sw11098]
 data. KmL, a new package implementing kmeans is presented. The advantage of KmL over ... algorithm several times, varying the starting conditions and the number of clusters looked...

SequenceAnalysis
 Referenced in 0 articles
[sw16313]
 group. d)Eight categories are clustered via kmeans algorithm on Physicochemical index of amino...

DroidMat
 Referenced in 2 articles
[sw33515]
 Android malware, different kinds of clustering algorithms can be applied to enhance the malware modeling ... applies Kmeans algorithm that enhances the malware modeling capability. The number of clusters...

GuidedSparseKmeans
 Referenced in 1 article
[sw38238]
 Outcomeguided Sparse Kmeans for Disease Subtype Discovery via Integrating Phenotypic Data with High ... urgent to develop an outcomeguided clustering algorithm to fully integrate the phenotypic data with ... sparse Kmeans method to an outcomeguided sparse Kmeans (GuidedSparseKmeans) method, which incorporated ... GuidedSparseKmeans by comparing with existing clustering methods in simulations and applications of highdimensional transcriptomic...

kmcudaR
 Referenced in 3 articles
[sw25418]
 DropIn Replacement of the Classic KMeans with Consistent Speedup”. While it introduces some ... speedup against the Lloyd algorithm. Knearest neighbors employ the same triangle inequality idea ... require precalculated centroids and cluster assignments, similar to the flattened ball tree...

clustRcompaR
 Referenced in 0 articles
[sw18458]
 process, involving Ward’s algorithm hierarchical agglomerative clustering, and kmeans clustering. Selects optimal number...

GenClust
 Referenced in 4 articles
[sw30045]
 methodology, specifically conceived for validating clusters of gene expression data. The validity of GenClust ... comparison with other algorithms, i.e., Average Link, Cast, Click and Kmeans. Conclusion: Experiments show ... differences between the worst and best performing algorithm may be statistically insignificant and they could ... However, there are cases in which an algorithm may be better than others and therefore...

tdigest
 Referenced in 1 article
[sw40731]
 algorithm, by Dunning et al., (2019) , uses a variant of 1dimensional kmeans clustering ... even to estimate related measures like trimmed means. The advantage of the tDigest over ... accurate than those produced by previous digest algorithms. Methods are provided to create and update...