• ML-KNN

  • Referenced in 74 articles [sw12923]
  • derived from the traditional K-nearest neighbor (KNN) algorithm. In detail, for each unseen instance...
  • LMNN

  • Referenced in 82 articles [sw29754]
  • implementation of Large Margin Nearest Neighbor (LMNN), a metric learning algorithm first introduced by Kilian ... metric learning algorithm to improve k-nearest neighbor classification by learning a generalized Euclidean metric...
  • SVMlight

  • Referenced in 264 articles [sw04076]
  • local search. A detailed description of the algorithm can be found in [Joachims, 1999c ... transductive version of k-Nearest Neighbor is the Spectral Graph Transducer. SVMlight can also train...
  • iEzy-drug

  • Referenced in 15 articles [sw22455]
  • operated by the fuzzy K-nearest neighbor algorithm. The overall success rate achieved by iEzy...
  • iAMP-2L

  • Referenced in 23 articles [sw22416]
  • acid composition (PseAAC) and fuzzy K-nearest neighbor (FKNN) algorithm, where the components of PseAAC...
  • FNN

  • Referenced in 14 articles [sw14860]
  • tree and kd-tree fast k-nearest neighbor search algorithms and related applications including...
  • SubChlo

  • Referenced in 11 articles [sw22431]
  • evidence-theoretic K-nearest neighbor (ET-KNN) algorithm. The chloroplast is a type of plant ... introducing the evidence-theoretic K-nearest neighbor (ET-KNN) algorithm, we developed a method...
  • PSNO

  • Referenced in 6 articles [sw27678]
  • technique of the k-nearest neighbor algorithm. Using both informative features and an elaborate feature...
  • impute

  • Referenced in 104 articles [sw14376]
  • range of data sets to which these algorithms can be applied. In this report ... Decomposition (SVD) based method (SVDimpute), weighted K-nearest neighbors (KNNimpute), and row average. We evaluated...
  • kmcudaR

  • Referenced in 3 articles [sw25418]
  • speedup against the Lloyd algorithm. K-nearest neighbors employ the same triangle inequality idea...
  • Statistics Toolbox

  • Referenced in 18 articles [sw10157]
  • trees, k-means and hierarchical clustering, k-nearest neighbor search, Gaussian mixtures, and hidden Markov...
  • iSS-Hyb-mRMR

  • Referenced in 3 articles [sw22414]
  • tested using various classification algorithms including K-nearest neighbor, probabilistic neural network, general regression neural...
  • dbscan

  • Referenced in 12 articles [sw16291]
  • algorithm. The implementations uses the kd-tree data structure (from library ANN) for faster k ... nearest neighbor search. An R interface to fast kNN and fixed-radius NN search...
  • densityClust

  • Referenced in 2 articles [sw35468]
  • implementation (based on k-nearest neighbors) of the density peak clustering algorithm, originally described...
  • KAZE

  • Referenced in 0 articles [sw30271]
  • desirable and the K-nearest neighbor (KNN) match algorithm takes a long time. Therefore...
  • parmigene

  • Referenced in 0 articles [sw27758]
  • entropy estimates from k-nearest neighbors distances and algorithms for the reconstruction of gene regulatory...
  • ipft

  • Referenced in 0 articles [sw18925]
  • data. Machine learning algorithms and methods such as k-nearest neighbors or probabilistic fingerprinting...
  • kdANN+

  • Referenced in 1 article [sw25633]
  • from a given location. An all k-nearest neighbor (AkNN) query constitutes a variation ... query and retrieves the k nearest points for each point inside a database. Their main ... classifying multidimensional data using an AkNN algorithm in the MapReduce framework. Our approach exploits space...
  • mclust

  • Referenced in 309 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...
  • R

  • Referenced in 9969 articles [sw00771]
  • R is a language and environment for statistical...