• R

  • Referenced in 10082 articles [sw00771]
  • nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques...
  • CRAN

  • Referenced in 568 articles [sw04351]
  • nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project...
  • Neural Network Toolbox

  • Referenced in 178 articles [sw07378]
  • such as data fitting, pattern recognition, clustering, time-series prediction, and dynamic system modeling ... data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox...
  • Tsclust

  • Referenced in 13 articles [sw23348]
  • package TSclust: Time Series Clustering Utilities. A set of measures of dissimilarity between time series ... perform time series clustering. Metrics based on raw data, on generating models ... implemented. Some additional utilities related to time series clustering are also provided, such as clustering...
  • ScaLAPACK

  • Referenced in 418 articles [sw00830]
  • Cray T3, IBM SP, Intel series, TM CM-5, clusters of workstations, and any system ... source code for the package, testing and timing programs, prebuilt version of the library...
  • funHDDC

  • Referenced in 26 articles [sw11130]
  • specific functional subspaces: Model-based clustering of time series in group-specific functional subspacesThis work...
  • HSMClust

  • Referenced in 6 articles [sw25560]
  • hierarchical spectral merger algorithm: a new time series clustering procedure. We present a new method ... time series clustering which we call the Hierarchical Spectral Merger (HSM) method. This procedure ... based on the spectral theory of time series and identifies series that share similar oscillations ... each step of the algorithm, every time two clusters merge, a new spectral density...
  • dtwclust

  • Referenced in 3 articles [sw15306]
  • Series Clustering Along with Optimizations for the Dynamic Time Warping Distance. Time series clustering along...
  • pdc

  • Referenced in 4 articles [sw23347]
  • series. pdc: Permutation Distribution Clustering. Permutation Distribution Clustering is a clustering method for time series...
  • HCC-Vis

  • Referenced in 3 articles [sw30710]
  • Coherence-based time series clustering for statistical inference and visualization of brain connectivity. We develop ... cluster-coherence.” While the most common approach to measure dependence between clusters ... through pairs of single time series, our method proposes cluster coherence which measures dependence between ... between clusters and within channels in a cluster. The identified clusters contain time series that...
  • ggfortify

  • Referenced in 7 articles [sw20802]
  • commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package...
  • STEM

  • Referenced in 5 articles [sw30034]
  • Java program for clustering, comparing, and visualizing short time series gene expression data from microarray...
  • catch22

  • Referenced in 5 articles [sw41877]
  • vectors can enable efficient clustering and classification for time-series applications across science and industry...
  • ICLUS

  • Referenced in 1 article [sw02611]
  • ICLUS: A robust and scalable clustering model for time series via independent component analysis ... then develop a clustering algorithm called ICLUS to group time series according ... achieve satisfactory performance in clustering large time series data sets based on a modest number ... model can be used to cluster financial time series with similar structural patterns. The experiments...
  • autoplotly

  • Referenced in 3 articles [sw26121]
  • supported by ’ggfortify’, such as time series, PCA, clustering and survival analysis, with ’plotly.js...
  • soft-DTW

  • Referenced in 1 article [sw39762]
  • minimal-cost alignment problem between two time series using dynamic programming. Our work takes advantage ... with quadratic time/space complexity (DTW has quadratic time but linear space complexity). We show that ... particularly well suited to average and cluster time series under the DTW geometry, a task...
  • TimeSeriesClustering

  • Referenced in 2 articles [sw34951]
  • learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs ... quantifying similarity between time series datasets. The software provides a type system for temporal data ... implementation of the most commonly used clustering methods and extreme value selection methods for temporal ... provides simple integration of multi-dimensional time-series data (e.g. multiple attributes such as wind...
  • DENFIS

  • Referenced in 57 articles [sw24183]
  • learning, and their application for dynamic time series prediction. DENFIS evolve through incremental, hybrid (supervised/unsupervised ... operation of the system. At each time moment, the output of DENFIS is calculated through ... after the learning process. An evolving clustering method (ECM), which is employed in both online...
  • CapacityExpansion

  • Referenced in 1 article [sw34949]
  • regions. CapacityExpansion provides simple integration of (clustered) time-series, geographical, cost, and technology input data...
  • tslearn

  • Referenced in 7 articles [sw28447]
  • purpose Python machine learning library for time series that offers tools for pre-processing ... extraction as well as dedicated models for clustering, classification and regression. It follows scikit-learn...