• k-means++

  • Referenced in 176 articles [sw21622]
  • advantages of careful seeding. The k-means method is a widely used clustering technique that ... very appealing in practice. By augmenting k-means with a very simple, randomized seeding technique...
  • IRAM

  • Referenced in 203 articles [sw08795]
  • polynomial filters in a k-step Arnoldi method. The author describes and analyses...
  • impute

  • Referenced in 104 articles [sw14376]
  • input. For example, methods such as hierarchical clustering and K-means clustering are not robust ... effectiveness even with a few missing values. Methods for imputing missing data are needed, therefore ... Singular Value Decomposition (SVD) based method (SVDimpute), weighted K-nearest neighbors (KNNimpute), and row average...
  • spatstat

  • Referenced in 142 articles [sw04429]
  • windows, pixel images and tessellations. Exploratory methods include K-functions, nearest neighbour distance and empty...
  • FODE

  • Referenced in 296 articles [sw08377]
  • combining the predictor-corrector approach with the method of lines, the algorithm is designed ... solving FODE with the numerical error $O(k^{min{1+2alpha...
  • SANET

  • Referenced in 31 articles [sw14951]
  • spatial methods, including nearest neighbor distance methods, K-function methods, cell count methods, clumping methods...
  • ARPACK

  • Referenced in 842 articles [sw04218]
  • Lanczos process called the Implicitly Restarted Lanczos Method (IRLM). These variants may be viewed ... software is designed to compute a few (k) eigenvalues with user specified features such...
  • EFD

  • Referenced in 53 articles [sw04152]
  • point P∈E(k), they identify today’s fastest methods to compute the point...
  • sparcl

  • Referenced in 54 articles [sw16353]
  • clustering and sparse k-means clustering. Implements the sparse clustering methods of Witten and Tibshirani...
  • NLEIGS

  • Referenced in 34 articles [sw22547]
  • Newton rational Krylov method proposed in [R. Van Beeumen, K. Meerbergen, and W. Michiels, SIAM ... particularly suited for the rational Krylov method. A new approach for the computation of rational...
  • LSMR

  • Referenced in 76 articles [sw12940]
  • analytically equivalent to the MINRES method applied to the normal equation ... that the quantities ∥A T r k ∥ are monotonically decreasing (where...
  • SymNMF

  • Referenced in 15 articles [sw12668]
  • superior to those by other methods such as K-means. In this paper, we provide...
  • AntClust

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

  • Referenced in 25 articles [sw14671]
  • eigenvalues via homotopy methods. We introduce the concept of mode-k generalized eigenvalues and eigenvectors ... solve tensor eigenproblems. With proper implementation, these methods can find all equivalence classes of isolated...
  • cclust

  • Referenced in 11 articles [sw11278]
  • Methods and Clustering Indexes. Convex Clustering methods, including K-means algorithm, On-line Update algorithm...
  • ADE-4

  • Referenced in 8 articles [sw14077]
  • several three-way table (k-table) analysis methods. Graphical display techniques include an automatic collection ... providing a very efficient way for automatic k-table graphics and geographical mapping options...
  • na12

  • Referenced in 29 articles [sw11490]
  • provides a numerically stable, quadratically convergent method for solving the matrix equation ... where the Ai’s are nonnegative k × k matrices such that ... propose a further improvement of the above method, based on a point-wise evaluation/interpolation...
  • LSFBTR

  • Referenced in 7 articles [sw13181]
  • distributed uniformly in the variable ln(k). Solution method: The transform can be carried...
  • PEACH

  • Referenced in 4 articles [sw10227]
  • fragment molecular orbital (FMO) method [K. Kitaura et al., Chem. Phys. Lett...
  • flexclust

  • Referenced in 27 articles [sw04583]
  • k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include...