• VFloat

  • Referenced in 1 article [sw33310]
  • implementation of the K-means 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 K-means 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 real-world ... Rand Index, with both k-means and hierarchical clustering algorithms...
  • wskm

  • Referenced in 3 articles [sw18037]
  • Clustering. Entropy weighted k-means (ewkm) is a weighted subspace clustering algorithm that is well ... level variable weighting clustering algorithm tw-k-means (twkm) introduces two types of weights ... calculated during the clustering process. The feature group weighted k-means (fgkm) extends this concept...
  • Ckmeans.1d.dp

  • Referenced in 0 articles [sw15783]
  • programming algorithm for optimal univariate k-means clustering. The algorithm minimizes the sum of squares ... within-cluster distances. As an alternative to heuristic k-means algorithms, this method guarantees optimality ... efficiency and accuracy over heuristic k-means clustering is increasingly pronounced as the number...
  • coseq

  • Referenced in 2 articles [sw41337]
  • clustered using adapted transformations and mixture models or a K-means 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 envelope-EM algorithms thus provide foundations for envelope methods ... Gaussian mixture models, K-means 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 K-Means method and to the AntClass algorithm...
  • T-REKS

  • Referenced in 3 articles [sw22483]
  • REpeats in sequences with a K-meanS 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 K-means algorithm. Benchmark...
  • CGH-Plotter

  • Referenced in 9 articles [sw07372]
  • number is deleted or amplified using k-means clustering and dynamic programming. The CGH-Plotter ... 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 ... k-Means, Affinity propagation, Bron–Kerbosch, MULIC, Restricted neighborhood search cluster algorithm, Markov clustering...
  • SymNMF

  • Referenced in 15 articles [sw12668]
  • K-means. 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 k-means 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 k-means 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 K-means algorithm that enhances the malware modeling capability. The number of clusters...
  • GuidedSparseKmeans

  • Referenced in 1 article [sw38238]
  • Outcome-guided Sparse K-means for Disease Subtype Discovery via Integrating Phenotypic Data with High ... urgent to develop an outcome-guided clustering algorithm to fully integrate the phenotypic data with ... sparse K-means method to an outcome-guided sparse K-means (GuidedSparseKmeans) method, which incorporated ... GuidedSparseKmeans by comparing with existing clustering methods in simulations and applications of high-dimensional transcriptomic...
  • kmcudaR

  • Referenced in 3 articles [sw25418]
  • Drop-In Replacement of the Classic K-Means with Consistent Speedup”. While it introduces some ... speedup against the Lloyd algorithm. K-nearest 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 k-means 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 K-means. 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 1-dimensional k-means clustering ... even to estimate related measures like trimmed means. The advantage of the t-Digest over ... accurate than those produced by previous digest algorithms. Methods are provided to create and update...