• spatstat

  • Referenced in 131 articles [sw04429]
  • images and tessellations. Exploratory methods include K-functions, nearest neighbour distance and empty space statistics...
  • copent

  • Referenced in 1 article [sw33918]
  • estimating copula entropy is implemented. The method composes of two simple steps: estimating empirical copula ... estimating copula entropy with k-Nearest-Neighbour method. Copula Entropy is a mathematical concept...
  • GenForImp

  • Referenced in 2 articles [sw32731]
  • quantitative missing data. One method alternates Nearest Neighbour Imputation and Principal Component Analysis (function ’ForImp.PCA...
  • affypdnn

  • Referenced in 2 articles [sw10462]
  • affypdnn: Probe Dependent Nearest Neighbours (PDNN) for the affy package. The package contains functions ... perform the PDNN method described by Li Zhang...
  • NanoNET

  • Referenced in 1 article [sw35709]
  • framework implements a method based on kd-tree nearest-neighbour search and is applicable...
  • ESKNN

  • Referenced in 1 article [sw26841]
  • ESKNN: Ensemble of Subset of K-Nearest Neighbours Classifiers for Classification and Class Membership Probability ... data is addressed by utilizing the ensemble method. A few optimal models are selected ... initially large set of base k-nearest neighbours (KNN) models, generated on subset of features...
  • KNN

  • Referenced in 1 article [sw11858]
  • nearest neighbour density estimation, “Leave-one-out-at-a-time” test. Used nonparametric methods provide...
  • Implicit

  • Referenced in 1 article [sw37578]
  • Method for Implicit Feedback Collaborative Filtering. Bayesian Personalized Ranking. Logistic Matrix Factorization. Item-Item Nearest ... Neighbour models using Cosine, TFIDF or BM25 as a distance metric. All models have multi...
  • LeSiNN

  • Referenced in 1 article [sw20748]
  • introduce the concept of Least Similar Nearest Neighbours (LeSiNN) and use LeSiNN to detect anomalies ... directly. Although there is an existing method which is a special case of LeSiNN, this...
  • spatclus

  • Referenced in 1 article [sw30577]
  • this package is based on an original method that allows the detection of multiple clusters ... order and the distance from its nearest neighbour once pre-selected points have been taken...
  • abodOutlier

  • Referenced in 1 article [sw27461]
  • outlier detection on a given dataframe. Three methods are available, a full but slow implementation ... more efficient and another using k-nearest neighbours. These algorithms are specially well suited...
  • BerlinMOD

  • Referenced in 2 articles [sw06649]
  • moving object databases This document presents a method to design scalable and representative moving object ... presenting a preliminary extension handling various nearest neighbour queries. Such a benchmark is useful...
  • Mathematica

  • Referenced in 5957 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12309 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 8601 articles [sw00771]
  • R is a language and environment for statistical...
  • TSPLIB

  • Referenced in 665 articles [sw00983]
  • TSPLIB is a library of sample instances for...
  • GLIM

  • Referenced in 186 articles [sw01126]
  • GLIM - a system for interactive fitting of generalized...
  • S-PLUS

  • Referenced in 601 articles [sw02892]
  • S-PLUS is a powerful environment for statistical...
  • UCI-ml

  • Referenced in 3100 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...