• ML-KNN

  • Referenced in 74 articles [sw12923]
  • knn: A lazy learning approach to multi-label learning. Multi-label learning originated from ... multi-label lazy learning approach named ML-KNN is presented, which is derived from ... traditional K-nearest neighbor (KNN) algorithm. In detail, for each unseen instance, its K nearest ... automatic web page categorization, show that ML-KNN achieves superior performance to some well-established...
  • Torch

  • Referenced in 40 articles [sw05407]
  • Mixtures, Kmeans, Mixtures of experts, Parzen Windows, KNN, and can be easily extended so that...
  • Memtype-2L

  • Referenced in 39 articles [sw16472]
  • formed by fusing many powerful individual OET-KNN (Optimized Evidence-Theoretic K-Nearest Neighbor) classifiers...
  • Euk-PLoc

  • Referenced in 24 articles [sw22420]
  • these basic classifiers was engineered by the KNN (K-Nearest Neighbor) principle. As a demonstration...
  • Hum-PLoc

  • Referenced in 24 articles [sw26863]
  • these basic classifiers was operated by the KNN (K-nearest neighbor) rule. As a demonstration...
  • Signal-3L

  • Referenced in 16 articles [sw26857]
  • classifier formed by fusing many individual OET-KNN (optimized evidence-theoretic K nearest neighbor) classifiers...
  • SubChlo

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

  • Referenced in 14 articles [sw14860]
  • neighbor search algorithms and related applications including KNN classification, regression and information measures are implemented...
  • dbscan

  • Referenced in 11 articles [sw16291]
  • neighbor search. An R interface to fast kNN and fixed-radius NN search is also...
  • SpaceTwist

  • Referenced in 7 articles [sw41706]
  • rectifies these shortcomings for k nearest neighbor (kNN) queries. Starting with a location different from...
  • CORElearn

  • Referenced in 5 articles [sw10624]
  • models in the leafs, random forests, kNN, naive Bayes, and locally weighted regression...
  • repRNA

  • Referenced in 5 articles [sw16852]
  • such as SVM (support vector machine) and KNN (k-nearest neighbor), can only handle vectors...
  • msr

  • Referenced in 4 articles [sw24521]
  • Discrete Morse-Smale complex approximation based on kNN graph. The Morse-Smale complex provides...
  • RALF

  • Referenced in 4 articles [sw33955]
  • other algorithms such as SVM or KNN. More recently, we show in [2] that this...
  • kdANN+

  • Referenced in 1 article [sw25633]
  • Data. A k-nearest neighbor (kNN) query determines the k nearest points, using distance metrics ... AkNN) query constitutes a variation of a kNN query and retrieves the k nearest points ... first to study the kNN classification of multidimensional objects under this perspective. Through an extensive...
  • DroidMat

  • Referenced in 2 articles [sw33515]
  • rank approximation. Finally, it uses kNN algorithm to classify the application as benign or malicious...
  • KNN

  • Referenced in 1 article [sw11858]
  • Statistical decisions under nonparametric a priori information. A...
  • rrecsys

  • Referenced in 1 article [sw15278]
  • this package are: Global/Item/User-Average baselines, Item-Based KNN, FunkSVD, BPR and weighted ALS. They...
  • statlearn

  • Referenced in 1 article [sw26563]
  • with OSU-SVM toolbox), K Nearest Neighbors (KNN) classification method, Generative classifiers (also called Bayesian...
  • ESKNN

  • Referenced in 1 article [sw26841]
  • large set of base k-nearest neighbours (KNN) models, generated on subset of features from...