
AS 136
 Referenced in 283 articles
[sw14176]
 Algorithm AS 136: A KMeans Clustering Algorithm...

kmeans++
 Referenced in 134 articles
[sw21622]
 kmeans++: The advantages of careful seeding. The kmeans method is a widely used ... very appealing in practice. By augmenting kmeans with a very simple, randomized seeding technique ... speed and the accuracy of kmeans, often quite dramatically...

SuLQ
 Referenced in 123 articles
[sw11355]
 primitive: principal component analysis, k means clustering, the Perceptron Algorithm, the ID3 algorithm, and (apparently...

impute
 Referenced in 99 articles
[sw14376]
 methods such as hierarchical clustering and Kmeans clustering are not robust to missing data ... Value Decomposition (SVD) based method (SVDimpute), weighted Knearest neighbors (KNNimpute), and row average...

sparcl
 Referenced in 49 articles
[sw16353]
 Perform sparse hierarchical clustering and sparse kmeans clustering. Implements the sparse clustering methods...

Vlfeat
 Referenced in 44 articles
[sw13478]
 feature detectors, feature extractors, (hierarchical) kmeans clustering, randomized kdtree matching, and superpixelization...

LowRankModels
 Referenced in 27 articles
[sw27002]
 completion, robust PCA, nonnegative matrix factorization, kmeans, and many more. For more information...

JMEANS
 Referenced in 69 articles
[sw02649]
 local search heuristic, called JMeans, is proposed for solving the minimum sum of squares ... wellknown local search heuristics, K and HMeans as well as with HMeans...

Pyglrm
 Referenced in 26 articles
[sw27003]
 completion, robust PCA, nonnegative matrix factorization, kmeans, and many more...

SPEC Benchmarks
 Referenced in 23 articles
[sw21476]
 social media NoSQL database transaction and KMeans clustering using map/reduce as two significant...

ARPACK
 Referenced in 806 articles
[sw04218]
 sparse or structured matrices A where structured means that a matrixvector product ... software is designed to compute a few (k) eigenvalues with user specified features such...

Statistics Toolbox
 Referenced in 18 articles
[sw10157]
 SVMs), boosted and bagged decision trees, kmeans and hierarchical clustering, knearest neighbor search...

KmL
 Referenced in 12 articles
[sw11098]
 kmeans for longitudinal data. KmL, a new package implementing kmeans is presented ... real data are presented. Performance of $k$means on longitudinal data is compared to Proc...

GAKREM
 Referenced in 10 articles
[sw02712]
 clustering algorithm named GAKREM (Genetic Algorithm Kmeans Logarithmic Regression Expectation Maximization) that combines ... best characteristics of the Kmeans and EM algorithms but avoids their weaknesses such ... Another novelty is the use of Kmeans to initially assign data points to clusters ... with the conventional EM algorithm, the Kmeans algorithm, and the likelihood crossvalidation technique...

StreamKM++
 Referenced in 14 articles
[sw25552]
 from the data stream, a weighted kmeans algorithm is applied on the coreset...

GAPS
 Referenced in 14 articles
[sw02613]
 modified version, and the wellknown Kmeans algorithm. Sixteen data sets with widely varying...

SymNMF
 Referenced in 12 articles
[sw12668]
 those by other methods such as Kmeans. In this paper, we provide further interpretation...

FGKA
 Referenced in 6 articles
[sw37722]
 FGKA: a Fast Genetic Kmeans Clustering Algorithm. In this paper, we propose ... clustering algorithm called Fast Genetic Kmeans Algorithm (FGKA). FGKA is inspired by the Genetic ... Kmeans Algorithm (GKA) proposed by Krishna and Murty in 1999 but features several improvements ... experiments indicate that, while Kmeans algorithm might converge to a local optimum, both FGKA...

fdakma
 Referenced in 7 articles
[sw14401]
 package fdakma: Functional Data Analysis: KMean Alignment. It performs simultaneously clustering and alignment ... unidimensional functional dataset by means of kmean alignment...

AntClust
 Referenced in 10 articles
[sw01754]
 partition. We compare AntClust to the KMeans method and to the AntClass algorithm...