
AS 136
 Referenced in 251 articles
[sw14176]
 Algorithm AS 136: A KMeans Clustering Algorithm...

SuLQ
 Referenced in 120 articles
[sw11355]
 primitive: principal component analysis, k means clustering, the Perceptron Algorithm, the ID3 algorithm, and (apparently...

kmeans++
 Referenced in 104 articles
[sw21622]
 augmenting kmeans with a very simple, randomized seeding technique, we obtain an algorithm that ... speed and the accuracy of kmeans, often quite dramatically...

ARPACK
 Referenced in 774 articles
[sw04218]
 sparse or structured matrices A where structured means that a matrixvector product ... operations. This software is based upon an algorithmic variant of the Arnoldi process called ... software is designed to compute a few (k) eigenvalues with user specified features such...

GAKREM
 Referenced in 10 articles
[sw02712]
 novel 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 ... Kmeans to initially assign data points to clusters. The algorithm is evaluated by comparing ... with the conventional EM algorithm, the Kmeans algorithm, and the likelihood crossvalidation technique...

GAPS
 Referenced in 13 articles
[sw02613]
 with Point Symmetry (GAPS) distance based clustering algorithm is able to detect any type ... modified version, and the wellknown Kmeans algorithm. Sixteen data sets with widely varying...

StreamKM++
 Referenced in 11 articles
[sw25552]
 from the data stream, a weighted kmeans algorithm is applied on the coreset...

impute
 Referenced in 91 articles
[sw14376]
 with multiple missing expression values. Unfortunately, many algorithms for gene expression analysis require a complete ... methods such as hierarchical clustering and Kmeans clustering are not robust to missing data ... range of data sets to which these algorithms can be applied. In this report ... Value Decomposition (SVD) based method (SVDimpute), weighted Knearest neighbors (KNNimpute), and row average...

cclust
 Referenced in 9 articles
[sw11278]
 Clustering Indexes. Convex Clustering methods, including Kmeans algorithm, Online Update algorithm (Hard Competitive...

ParaKMeans
 Referenced in 4 articles
[sw29731]
 ParaKMeans: Implementation of a parallelized Kmeans algorithm suitable for general laboratory use. Background: During ... perform cluster analysis. While many clustering algorithms have been developed, they all suffer a significant ... problem of clustering algorithms is to distribute or parallelize the algorithm across multiple computers. Results ... parallelized version of the Kmeans Clustering algorithm. Most parallel processing applications are not accessible...

DIVCLUST
 Referenced in 5 articles
[sw02736]
 hierarchical clustering algorithm and the kmeans partitioning algorithm, it is based on the minimization ... inertia criterion. However, unlike Ward and kmeans, it provides a simple and natural interpretation ... interpretation is studied by applying the three algorithms on six databases from the UCI Machine...

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 ... identical short strings by using a Kmeans algorithm. Benchmark of the existing programs...

BoostCluster
 Referenced in 5 articles
[sw08555]
 number of popular clustering algorithms (Kmeans, partitional SingleLink, spectral clustering), and its performance ... comparable to the stateoftheart algorithms for data clustering with side information...

pyMEF
 Referenced in 2 articles
[sw07455]
 functions. They can be estimated by various means, often using expectationmaximization or kernel density ... known algorithms, new and promising stochastic modeling methods include Dirichlet process mixtures and $k$maximum ... meanslike algorithms. Like all $k$means algorithms, our method relies on divergences and centroids...

skmeans
 Referenced in 3 articles
[sw24387]
 package skmeans: Spherical kMeans Clustering. Algorithms to compute spherical kmeans partitions. Features several...

Vlfeat
 Referenced in 38 articles
[sw13478]
 open and portable library of computer vision algorithms. It aims at facilitating fast prototyping ... feature detectors, feature extractors, (hierarchical) kmeans clustering, randomized kdtree matching, and superpixelization...

Statistics Toolbox
 Referenced in 18 articles
[sw10157]
 learning algorithms, including support vector machines (SVMs), boosted and bagged decision trees, kmeans...

SMART
 Referenced in 3 articles
[sw02795]
 This paper presents a subspace kmeans clustering algorithm for highdimensional data with automatic ... objective function of the fuzzy kmeans clustering process to enable several clusters to compete ... true’ number of clusters. The algorithm determines the number of clusters in a dataset...

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

RSKC
 Referenced in 2 articles
[sw23852]
 Robust and Sparse KMeans Clustering Algorithm. Witten and Tibshirani (2010) proposed an algorithim ... select clustering variables, called sparse Kmeans (SKmeans). SKmeans is particularly useful when ... robust and sparse Kmeans clustering algorithm implemented in the R package RSKC. We demonstrate...