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clue
- Referenced in 19 articles
[sw09497]
- CLUE for CLUster Ensembles. Cluster ensembles are collections of individual solutions to a given clustering ... computational environment for creating and analyzing cluster ensembles, with basic data structures for representing partitions ... measuring proximity and obtaining consensus and ”secondary” clusterings...
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iRSpot-EL
- Referenced in 29 articles
[sw24776]
- auto-cross covariance into an ensemble classifier of clustering approach. Five-fold cross tests...
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LCE
- Referenced in 5 articles
[sw25277]
- link-based cluster ensemble method for improved gene expression data analysis. MOTIVATION ... another, this is often sub-optimal. Cluster ensemble research solves this problem by automatically combining ... data clustering. RESULTS: The link-based cluster ensemble (LCE) method, presented here, implements these ideas ... usually outperforms the existing cluster ensemble algorithms in individual tests and, overall, is clearly class...
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LinkCluE
- Referenced in 2 articles
[sw15839]
- MATLAB Package for Link-Based Cluster Ensembles. Cluster ensembles have emerged as a powerful meta ... robustness by aggregating several input data clusterings. In particular, link-based similarity methods have recently ... LinkCluE, that implements the link-based cluster ensemble framework. A variety of functional methods...
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RNACluster
- Referenced in 2 articles
[sw23124]
- effective cluster approach for the ensemble clustering using a minimum spanning tree (MST) based algorithm ... structure prediction based on the clustering of structure ensemble...
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LibD3C
- Referenced in 4 articles
[sw21627]
- LibD3C: ensemble classifiers with a clustering and dynamic selection strategy. Selective ensemble is a learning ... hybrid model of ensemble pruning that is based on k-means clustering and the framework...
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ArrayMining
- Referenced in 2 articles
[sw25183]
- data from different studies. Applying ensemble learning, consensus clustering and cross-study normalization methods ... wide choice of feature selection, clustering, prediction, gene set analysis and cross-study normalization methods ... combined using ensemble feature selection, ensemble prediction, consensus clustering and cross-platform data integration ... fashion, new exploratory routes become available, e.g. ensemble sample classification using features obtained from...
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OTclust
- Referenced in 1 article
[sw35615]
- Cluster Analysis. Providing mean partition for ensemble clustering by optimal transport alignment(OTA), uncertainty measures...
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FastXML
- Referenced in 8 articles
[sw30152]
- label space. FastXML is an efficient tree ensemble based extreme classifier that can scale ... desktop/small cluster and can make predictions in milliseconds per test point. Tree ensembles generally require...
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OpenEnsembles
- Referenced in 0 articles
[sw26686]
- OpenEnsembles: a Python resource for ensemble clustering. In this paper we introduce OpenEnsembles, a Python ... toolkit for performing and analyzing ensemble clustering. Ensemble clustering is the process of creating many ... clustering solutions for a given dataset and utilizing the relationships observed across the ensemble ... clustering data, visualizing individual clustering solutions, visualizing and finishing the ensemble, and calculating validation metrics...
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KUBO
- Referenced in 2 articles
[sw17872]
- conductance of a statistical ensemble of two-dimensional clusters of the square lattice ... quite general. The shape of the cluster is rectangular with ideal leads attached to opposite ... system of given parameters or a statistical ensemble of conductances measured for different disorder realizations...
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RcmdrPlugin.FuzzyClust
- Referenced in 0 articles
[sw16677]
- result, this package provide soft voting cluster ensemble function. Visualization of result are provided...
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MDMC2
- Referenced in 1 article
[sw17668]
- Carlo simulations of multiply charged clusters in the NVTNVT ensemble (Bonhommeau and Gaigeot, 2013). Both ... mesoscopic coarse-grained simplified representation of the clusters (or droplets): these clusters are composed...
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PLANET
- Referenced in 5 articles
[sw15434]
- classification and regression trees, as well as ensembles of such models. We discuss the benefits ... challenges of using a MapReduce compute cluster for tree learning, and demonstrate the scalability...
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greed
- Referenced in 1 article
[sw41875]
- Integrated Classification Likelihood. An ensemble of algorithms that enable the clustering of networks and data...
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kombine
- Referenced in 1 article
[sw26501]
- sampler. kombine is an ensemble sampler that uses a clustered kernel-density-estimate proposal density...
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QMEAN
- Referenced in 7 articles
[sw17377]
- geometrical analysis of single models, and the clustering-based scoring function QMEANclust which calculates ... comparison of the models from the ensemble provided by the user. The web server performs...
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RNAG
- Referenced in 2 articles
[sw17129]
- ensemble centroids, and at least 11 families had at least two well-separated clusters ... variation among structures within an ensemble. Availability: The Perl implementation of the RNAG algorithm...
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Hyperbolic graph generator
- Referenced in 5 articles
[sw19944]
- properties like heterogeneous degree distributions and strong clustering. Recent research on network geometry has shown ... random graphs from other well-known graph ensembles, such as the soft configuration model, random...
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MLC Toolbox
- Referenced in 0 articles
[sw28399]
- space dimension reduction, sample clustering, label space dimension reduction and ensemble...