
R
 Referenced in 10082 articles
[sw00771]
 nonlinear modelling, classical statistical tests, timeseries 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, timeseries 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 CM5, 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: Modelbased clustering of time series in groupspecific 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...

HCCVis
 Referenced in 3 articles
[sw30710]
 Coherencebased time series clustering for statistical inference and visualization of brain connectivity. We develop ... clustercoherence.” 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 timeseries 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...

softDTW
 Referenced in 1 article
[sw39762]
 minimalcost 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 multidimensional timeseries 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) timeseries, geographical, cost, and technology input data...

tslearn
 Referenced in 7 articles
[sw28447]
 purpose Python machine learning library for time series that offers tools for preprocessing ... extraction as well as dedicated models for clustering, classification and regression. It follows scikitlearn...