• AS 136

  • Referenced in 275 articles [sw14176]
  • Algorithm AS 136: A K-Means Clustering Algorithm...
  • k-means++

  • Referenced in 119 articles [sw21622]
  • k-means++: The advantages of careful seeding. The k-means method is a widely used ... very appealing in practice. By augmenting k-means with a very simple, randomized seeding technique ... speed and the accuracy of k-means, often quite dramatically...
  • impute

  • Referenced in 99 articles [sw14376]
  • methods such as hierarchical clustering and K-means clustering are not robust to missing data...
  • sparcl

  • Referenced in 48 articles [sw16353]
  • Perform sparse hierarchical clustering and sparse k-means clustering. Implements the sparse clustering methods...
  • Vlfeat

  • Referenced in 39 articles [sw13478]
  • feature detectors, feature extractors, (hierarchical) k-means clustering, randomized kd-tree matching, and super-pixelization...
  • LowRankModels

  • Referenced in 24 articles [sw27002]
  • completion, robust PCA, nonnegative matrix factorization, k-means, and many more. For more information...
  • Pyglrm

  • Referenced in 23 articles [sw27003]
  • completion, robust PCA, nonnegative matrix factorization, k-means, and many more...
  • SPEC Benchmarks

  • Referenced in 23 articles [sw21476]
  • social media NoSQL database transaction and K-Means clustering using map/reduce as two significant...
  • GAKREM

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

  • Referenced in 18 articles [sw10157]
  • SVMs), boosted and bagged decision trees, k-means and hierarchical clustering, k-nearest neighbor search...
  • KmL

  • Referenced in 12 articles [sw11098]
  • k-means for longitudinal data. KmL, a new package implementing k-means is presented...
  • GAPS

  • Referenced in 14 articles [sw02613]
  • modified version, and the well-known K-means algorithm. Sixteen data sets with widely varying...
  • StreamKM++

  • Referenced in 13 articles [sw25552]
  • from the data stream, a weighted k-means algorithm is applied on the coreset...
  • AntClust

  • Referenced in 10 articles [sw01754]
  • partition. We compare AntClust to the K-Means method and to the AntClass algorithm...
  • SymNMF

  • Referenced in 10 articles [sw12668]
  • those by other methods such as K-means. In this paper, we provide further interpretation...
  • fdakma

  • Referenced in 6 articles [sw14401]
  • package fdakma: Functional Data Analysis: K-Mean Alignment. It performs simultaneously clustering and alignment ... unidimensional functional dataset by means of k-mean alignment...
  • cclust

  • Referenced in 9 articles [sw11278]
  • Clustering Indexes. Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive...
  • CGH-Plotter

  • Referenced in 9 articles [sw07372]
  • number is deleted or amplified using k-means clustering and dynamic programming. The CGH-Plotter...
  • DIVCLUS-T

  • Referenced in 5 articles [sw02736]
  • agglomerative hierarchical clustering algorithm and the k-means partitioning algorithm, it is based ... inertia criterion. However, unlike Ward and k-means, it provides a simple and natural interpretation...