
Cdhit
 Referenced in 48 articles
[sw16887]
 called cdhit. 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; cdhitest clusters a DNA/RNA sequence database...

DistAl
 Referenced in 99 articles
[sw01746]
 systems. A new constructive neural network learning algorithm (DistAl) based on interpattern 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 nonconvex clusters. Kdtree based ... with Point Symmetry (GAPS) distance based clustering algorithm is able to detect any type ... based clustering technique SBKM, its modified version, and the wellknown Kmeans 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 Kmeans 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]
 multidimensional 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 centroidbased hierarchical clustering algorithms, such as centroid, medoid, and Ward...

AntClust
 Referenced in 10 articles
[sw01754]
 propose a new antbased 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]
 ShepardArabie ADCLUS (ADditive CLUStering) model and the MAPCLUS algorithm, so as to represent ... differences. As such, INDCLUS provides a (discrete) clustering counterpart to the CarrollChang INDSCAL model ... possible generalizations of the INDCLUS model and algorithm...

CLIFF
 Referenced in 10 articles
[sw35898]
 CLIFF: clustering of highdimensional 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 multidimension behavior features between ... human behavior was established. Finally graphclustering algorithm SCAN was applied to find...

GAP
 Referenced in 18 articles
[sw26294]
 software for matrix visualization (MV) and clustering of highdimensional 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...