• DCluster

  • Referenced in 6 articles [sw08594]
  • DCluster: Functions for the detection of spatial clusters of diseases. A set of functions ... detection of spatial clusters of disease using count data. Bootstrap is used to estimate sampling...
  • SaTScan

  • Referenced in 25 articles [sw14250]
  • disease, to detect spatial or space-time disease clusters, and to see if they...
  • spatstat

  • Referenced in 107 articles [sw04429]
  • types include point patterns, line segment patterns, spatial windows, pixel images and tessellations. Exploratory methods ... include dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Fitted models...
  • DBSCAN

  • Referenced in 4 articles [sw02921]
  • Experiments in parallel clustering with DBSCAN. We present a new result concerning the parallelisation ... Data Mining algorithm for density-based spatial clustering. The overall structure of DBSCAN has been ... program that performs parallel exploration of each cluster. The approach is useful to improve performance ... dimensional data, and is general w.r.t. the spatial index structure used. We report preliminary results...
  • Indclus

  • Referenced in 21 articles [sw20757]
  • discrete) clustering counterpart to the Carroll-Chang INDSCAL model for (continuous) spatial representations. Finally...
  • ClustGeo

  • Referenced in 4 articles [sw20893]
  • ClustGeo: an R package for hierarchical clustering with spatial constraints. In this paper, we propose ... Ward-like hierarchical clustering algorithm including spatial/geographical constraints. Two dissimilarity matrices ... value of α which increases the spatial contiguity without deteriorating too much the quality...
  • clusterPy

  • Referenced in 2 articles [sw20894]
  • clusterPy: Library of spatially constrained clustering algorithms. Analytical regionalization (also known as spatially constrained clustering ... aggregated results. For a literature review on spatially constrained algorithms see [Murtagh1985], [Gordon1996], [Duque_Ramos...
  • CTex

  • Referenced in 9 articles [sw21611]
  • novel adaptive clustering algorithm that enforces the spatial continuity during the data assignment process...
  • dbscan

  • Referenced in 2 articles [sw16291]
  • data. Includes the DBSCAN (density-based spatial clustering of applications with noise) and OPTICS (ordering...
  • clustTool

  • Referenced in 2 articles [sw24300]
  • package clustTool: GUI for clustering data with spatial information. This package can be used ... clustering data with spatial information. Try function GUIspatclust() to run the clustTool...
  • AUTOCLUST+

  • Referenced in 4 articles [sw02259]
  • Argument free clustering for large spatial point-data sets via boundary extraction from Delaunay Diagram...
  • SpaCEM3

  • Referenced in 1 article [sw20896]
  • SpaCEM3 software is dedicated to Spatial Clustering with EM and Markov Models. It proposes ... supervised and unsupervised classification of multidimensional and spatially-located data. The main techniques ... algorithm for soft clustering and Markov Random Fields (MRF) for spatial modelling. The learning ... properties from hyperspectral satellite images...) to gene clustering (e.g. biological module detection), remote sensing...
  • smerc

  • Referenced in 1 article [sw30059]
  • focus on the detection of spatial clusters and clustering. The package has a heavy emphasis...
  • TRACE

  • Referenced in 2 articles [sw06654]
  • Load balancing for spatial-grid-based parallel numeric simulations on clusters of SMPs -- a case ... simulations that are based on spatial grids, especially on clusters of symmetric multiprocessors (SMPs). This ... paper presents a method of mapping spatial grid nodes to processors that combines 2 load ... achieve maximum parallel efficiency on SMP clusters. The method has been successfully applied to load...
  • AMOEBA

  • Referenced in 1 article [sw30060]
  • Based Algorithm. A function to calculate spatial clusters using the Getis-Ord local statistic...
  • HPDBSCAN

  • Referenced in 1 article [sw30118]
  • parallel implementation of the Density-Based Spatial Clustering for Applications with Noise (DBSCAN) algorithm...
  • KANDIDATS

  • Referenced in 1 article [sw18430]
  • consist of utility functions, image transforms, spatial clustering, and Bayesian classification. The versatility and capabilities...
  • LAFTER

  • Referenced in 2 articles [sw20759]
  • blob features, which are spatially compact clusters of pixels that are similar in terms...
  • GeoMF

  • Referenced in 0 articles [sw25054]
  • Besides, researchers have recently discovered a spatial clustering phenomenon in human mobility behavior ... LBSNs, i.e., individual visiting locations tend to cluster together, and also demonstrated its effectiveness ... model, we not only capture the spatial clustering phenomenon in terms of two-dimensional kernel ... factorization models and that incorporating the spatial clustering phenomenon into matrix factorization improves recommendation performance...
  • MODELLER

  • Referenced in 24 articles [sw27731]
  • comparative protein structure modeling by satisfaction of spatial restraints (3,4), and can perform many ... multiple alignment of protein sequences and/or structures, clustering, searching of sequence databases, comparison of protein...