• # CGAL

• Referenced in 394 articles [sw00118]
• trees for nearest neighbor search, and range and segment trees), interpolation (natural neighbor interpolation ... data structures. All these data structures and algorithms operate on geometric objects like points...
• # ML-KNN

• Referenced in 74 articles [sw12923]
• derived from the traditional K-nearest neighbor (KNN) algorithm. In detail, for each unseen instance ... nearest neighbors in the training set are firstly identified. After that, based on statistical information ... label sets of these neighboring instances, i.e. the number of neighboring instances belonging to each ... some well-established multi-label learning algorithms...
• # 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...
• # FNN

• Referenced in 14 articles [sw14860]
• package FNN: Fast Nearest Neighbor Search Algorithms and Applications. Cover-tree and kd-tree fast ... nearest neighbor search algorithms and related applications including KNN classification, regression and information measures...
• # 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...
• # Eigentaste

• Referenced in 66 articles [sw12451]
• filtering algorithm. Eigentaste is a collaborative filtering algorithm that uses universal queries to elicit real ... database of $n$ users, standard nearest-neighbor techniques require $O(n)$ processing time to compute ... constant) time. We compare Eigentaste to alternative algorithms using data from Jester, an online joke...
• # BAYES-NEAREST

• Referenced in 4 articles [sw02847]
• classifier combining Bayesian network and distance based algorithms. This paper presents a new hybrid classifier ... Bayesian Network paradigm with the Nearest Neighbor distance based algorithm. The Bayesian Network structure ... structural learning algorithm. The Nearest Neighbor algorithm is used in combination with the Bayesian Network...
• # impute

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

• Referenced in 3 articles [sw35421]
• improve similarity learning algorithms, such as the nearest neighbors classifier, and also has other applications ... pyDML package currently provides more than 20 algorithms, which can be categorized, according to their ... purpose, in: dimensionality reduction algorithms, algorithms to improve nearest neighbors or nearest centroids classifiers, information...
• # SNN-Cliq

• Referenced in 6 articles [sw34296]
• article, we describe a novel algorithm named shared nearest neighbor (SNN)-Cliq that clusters single ... Cliq utilizes the concept of shared nearest neighbor that shows advantages in handling high-dimensional ... with high accuracy. Availability and implementation: The algorithm is implemented in MATLAB and Python...
• # Statistics Toolbox

• Referenced in 18 articles [sw10157]
• toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted ... means and hierarchical clustering, k-nearest neighbor search, Gaussian mixtures, and hidden Markov models...