• Cd-hit

  • Referenced in 48 articles [sw16887]
  • called cd-hit. This program can efficiently cluster a huge protein database with millions ... underlying algorithm are not limited to only protein sequences clustering, here we present several ... programs using the same algorithm including ... similar matches between them; cd-hit-est clusters a DNA/RNA sequence database...
  • DistAl

  • Referenced in 99 articles [sw01746]
  • systems. A new constructive neural network learning algorithm (DistAl) based on inter-pattern distance ... Each neuron is designed to determine a cluster of training patterns belonging to the same ... significant advantage over other constructive learning algorithms that use an iterative (and often time consuming ... strategy to train individual neurons. The individual clusters (represented by the hidden neurons) are combined...
  • WebACE

  • Referenced in 19 articles [sw24648]
  • which provide significant improvement over traditional clustering algorithms and form the basis for the query...
  • MOA

  • Referenced in 41 articles [sw11966]
  • collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender...
  • NAG

  • Referenced in 417 articles [sw00610]
  • commercially available collection of numerical and statistical algorithms in the world. With over ... single PC or a cluster of the world’s largest supercomputers, the NAG Library...
  • SAINTETIQ

  • Referenced in 17 articles [sw02290]
  • SAINTETIQ. Based on a hierarchical conceptual clustering algorithm, SAINTETIQ incrementally builds a summary hierarchy from...
  • GAPS

  • Referenced in 14 articles [sw02613]
  • algorithm is therefore able to detect both convex and non-convex clusters. Kd-tree based ... with Point Symmetry (GAPS) distance based clustering algorithm is able to detect any type ... based clustering technique SBKM, its modified version, and the well-known K-means algorithm. Sixteen...
  • GAKREM

  • Referenced in 10 articles [sw02712]
  • GAKREM: A novel hybrid clustering algorithm We introduce a novel clustering algorithm named GAKREM (Genetic ... characteristics of the K-means and EM algorithms but avoids their weaknesses such ... clusters, termination in local optima, and lengthy computations. To achieve these goals, genetic algorithms ... initially assign data points to clusters. The algorithm is evaluated by comparing its performance with...
  • OrthoMCL

  • Referenced in 14 articles [sw29602]
  • multiple eukaryotic taxa, using a Markov Cluster algorithm to group (putative) orthologs and paralogs. This ... INPARANOID algorithm when applied to two genomes, but can be extended to cluster orthologs from...
  • RACHET

  • Referenced in 10 articles [sw02342]
  • multi-dimensional distributed data. A typical clustering algorithm requires bringing all the data ... build a global hierarchy of comparable clustering quality by merging locally generated clustering hierarchies. RACHET ... wide class of centroid-based hierarchical clustering algorithms, such as centroid, medoid, and Ward...
  • AntClust

  • Referenced in 10 articles [sw01754]
  • propose a new ant-based clustering algorithm called AntClust. It is inspired from the chemical ... Gestalt” colonial odor. Similarly, our clustering algorithm associates an object of the data...
  • Indclus

  • Referenced in 23 articles [sw20757]
  • Shepard-Arabie ADCLUS (ADditive CLUStering) model and the MAPCLUS algorithm, so as to represent ... differences. As such, INDCLUS provides a (discrete) clustering counterpart to the Carroll-Chang INDSCAL model ... possible generalizations of the INDCLUS model and algorithm...
  • CLIFF

  • Referenced in 10 articles [sw35898]
  • CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using ... normalized cuts. We present CLIFF, an algorithm for clustering biological samples using gene expression microarray ... redundant. Our algorithm iterates between two computational processes, feature filtering and clustering. Given a reference ... following round of clustering. Our clustering algorithm, which is based on the concept...
  • HERWIG 5.1

  • Referenced in 48 articles [sw02160]
  • using a coherent branching algorithm and hadron formation using a cluster fragmentation model...
  • CARP

  • Referenced in 7 articles [sw08054]
  • CARP: software for fishing out good clustering algorithms. This paper presents the Clustering Algorithms Referee ... licensed C package for evaluating clustering algorithms. Calibrating performance of such algorithms is important ... different clustering complexity and by assessing the performance of the concerned algorithm in terms...
  • SpectralCAT

  • Referenced in 8 articles [sw18794]
  • recognition and image analysis. Although many clustering algorithms have been proposed, most of them deal ... compare our method to several clustering algorithms using 16 public datasets from different domains...
  • KeyGraph

  • Referenced in 8 articles [sw24377]
  • based community detection algorithm (KCD) was put forward in order to cluster the characteristics ... through establishing KeyGraph and employing graph cluster algorithms. Firstly, the multi-dimension behavior features between ... human behavior was established. Finally graph-clustering algorithm SCAN was applied to find...
  • GAP

  • Referenced in 18 articles [sw26294]
  • software for matrix visualization (MV) and clustering of high-dimensional data sets. It provides direct ... variables and subjects. Various matrix permutation algorithms and clustering methods with validation indices are implemented...
  • ve08

  • Referenced in 143 articles [sw05141]
  • computing time by using a minimization algorithm that exploits some special structure ... Hessian G(x) of f(x) has clustered eigenvalues at a minimizer x *, in which...
  • Tsclust

  • Referenced in 9 articles [sw23348]
  • clustering are also provided, such as clustering algorithms and cluster evaluation metrics...