• spatstat

  • Referenced in 107 articles [sw04429]
  • number of dimensions. Contains over 1000 functions for plotting spatial data, exploratory data analysis, model ... images and tessellations. Exploratory methods include K-functions, nearest neighbour distance and empty space statistics...
  • SANET

  • Referenced in 16 articles [sw14951]
  • methods, including nearest neighbor distance methods, K-function methods, cell count methods, clumping methods...
  • cmprsk

  • Referenced in 96 articles [sw11073]
  • subdistribution functions in competing risks, as described in Gray (1988), A class of K-sample...
  • Algorithm 876

  • Referenced in 9 articles [sw12906]
  • specified, modest accuracy. The kernel function K(s,t) is to be moderately smooth ... kernel functions that behave in a variety of ways across the diagonal, viz. K ... integral equations with moderately smooth kernel function...
  • AHFinderDirect

  • Referenced in 24 articles [sw04972]
  • whose coefficients are algebraic functions of g ij , K ij , and the Cartesian-coordinate spatial...
  • SVMlight

  • Referenced in 242 articles [sw04076]
  • 2002c]. The goal is to learn a function from preference examples, so that it orders ... thought of as a transductive version of k-Nearest Neighbor is the Spectral Graph Transducer...
  • ASA

  • Referenced in 68 articles [sw04736]
  • nonlinear constrained non-convex cost-function over a D-dimensional space. This algorithm permits ... temperature” T decreasing exponentially in annealing-time k...
  • ParMETIS

  • Referenced in 90 articles [sw04697]
  • orderings of sparse matrices. ParMETIS extends the functionality provided by METIS and includes routines that ... ParMETIS are based on the parallel multilevel k-way graph-partitioning, adaptive repartitioning, and parallel...
  • ads

  • Referenced in 5 articles [sw24236]
  • multi-scale analyses derived from Ripley K-function, for univariate, multivariate and marked mapped data...
  • Z_LINEAR_K

  • Referenced in 7 articles [sw28125]
  • LINEAR_K provides the asymptotical inferences (tests and confidence intervals) for the parameters ... linear function of K independent proportions) or R=p2/p1 (the relative risk), by means...
  • SuLQ

  • Referenced in 114 articles [sw11355]
  • modify the privacy analysis to real-valued functions f and arbitrary row types ... invocations of the primitive: principal component analysis, k means clustering, the Perceptron Algorithm...
  • tree

  • Referenced in 13 articles [sw11163]
  • Trees: Classification and regression trees. Runs a K-fold cross-validation experiment to find ... misclassifications as a function of the cost-complexity parameter k...
  • flexclust

  • Referenced in 19 articles [sw04583]
  • Algorithms , The main function kcca implements a general framework for k-centroids cluster analysis supporting...
  • fdakma

  • Referenced in 4 articles [sw14401]
  • fdakma: Functional Data Analysis: K-Mean Alignment. It performs simultaneously clustering and alignment ... multidimensional or unidimensional functional dataset by means of k-mean alignment...
  • NLCertify

  • Referenced in 4 articles [sw08786]
  • formal features. Given a box K and a function f as input, NLCertify provides OCaml ... that produce nonnegativity certificates for f over K, which can be ultimately proved correct inside ... leaves of t are semialgebraic functions obtained by composition of polynomials with some basic operations ... other nodes can be either univariate transcendental functions (arctan, cos, exp, etc) or basic operations...
  • SAFER

  • Referenced in 17 articles [sw21990]
  • early SAFER K and SAFER SK designs share the same encryption function, but differ...
  • Cofinitary Group

  • Referenced in 2 articles [sw29535]
  • that the group generated by the function k -> k + 1 on the integers gives rise...
  • na12

  • Referenced in 25 articles [sw11490]
  • technique (Buzbee et al., 1970), rephrased in functional form (Bini and Meini, 1996), provides ... where the Ai’s are nonnegative k × k matrices such that ... suitable set of Fourier points, of the functional relations defining each step of cyclic reduction...
  • fmri

  • Referenced in 10 articles [sw06589]
  • contains R-functions to perform an fmri analysis as described in K. Tabelow, J. Polzehl...
  • ANN

  • Referenced in 41 articles [sw09854]
  • query point q, the nearest or generally k nearest points ... measured using any class of distance functions called Minkowski metrics. These include the well known...