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Items tagged with "clustering" (13)

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Network-member National Centre for Text Mining (NaCTeM)

Unique name: nactem
Created: Monday 19 May 2008 16:56:09 (UTC)

A group representing researches at the National Centre for Text Mining - www.nactem.ac.uk The National Centre for Text Mining (NaCTeM) is the first publicly-funded text mining centre in the world. We provide text mining services in response to the requirements of the UK academic community. NaCTeM is operated by the University of Manchester with close collaboration with the University of Tokyo....

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Pack document clustering


Created: 2012-01-17 11:16:46 | Last updated: 2012-02-15 16:05:57

example workflow for document clustering and evaluation

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Workflows (11)
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Workflow hierarchical microarray clustering (1)

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To illustrate our caGrid plug-in’s application, we tested it with a microarray hierarchical clustering workflow that involves services hosted at multiple institutions. Microarrays are a high-throughput technology used to measure the expression of tens of thousands of genes in different tissues or cells. Scientists represent the data from each microarray via a vector (profile) in which each element represents a gene’s expression level. They use clustering analysis to identify sim...

Created: 2008-12-05 | Last updated: 2008-12-05

Credits: User Wei Tan

Workflow Agglomerative clustering of a GEO dataset ... (2)

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No description

Created: 2011-04-28 | Last updated: 2011-12-13

Credits: User James Eales

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Workflow Semantic clustering (with AHC) of SPARQL q... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. The measure used in this particualr workflow is a kernel that exploits membership of clustered individuals to OWL classes from a background ontology ("Common classes" kernel from [1]). Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". ...

Created: 2012-01-29 | Last updated: 2012-01-29

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Workflow Semantic clustering (with k-medoids) of SP... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". The SPARQL query is entered in a parameter of "SPARQL selector" operator. The clustering operator (k-medoids) allows to specify which of the query variables are to be used as clustering criteria. If more ...

Created: 2012-01-29

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Workflow Semantic clustering (with alpha-clustering... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. The measure used in this particualr workflow is a kernel that exploits membership of clustered individuals to OWL classes from a background ontology ("Epistemic" kernel from [1]). Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". This ...

Created: 2012-01-29 | Last updated: 2012-01-30

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Workflow Loading OWL files (RDF version of videolec... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/). Operator "Build knowledge base" is responsible for collecting data either from OWL files or SPARQL endpoints or RDF repositories and provide it to the subsequent operators in a workflow. In this workflow it is parametrized in this way, that is builds a Sesame/OWLIM repository from the files specified in "Load file" operators. Paths to OWL files are specified as parameter va...

Created: 2012-01-29 | Last updated: 2012-01-29

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Workflow document clustering (1)

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Tesla Experiment Clustering wikipedia articles of different topics Evaluation of the results with the purity measure and rand index

Created: 2012-02-15 | Last updated: 2012-02-17

Credits: User AGeduldig

Workflow Clustering of Molecular Compounds with Bio... (4)

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This workflow downloads an input set of molecular compounds in SMILES format, using Chemspider service. The most frequent molecular fragments are extracted by means of MoSS tool (see http://www.borgelt.net/moss.html) , in order to obtain a set of features for each compound. Then a clustering and a visual exploration of the input dataset is performed by BioDICE service (see http://biolab.pa.icar.cnr.it/biodice.html), implementing Fast Learning Self-Organized Map (FLSOM) algorithm. Finally the ...

Created: 2013-05-29 | Last updated: 2014-01-09

Credits: User Antonino Fiannaca User Massimo La Rosa

Attributions: Workflow Get compound information Workflow Simple search

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Workflow Population genomics : Structure and CLUMPP (1)

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Population genomics analysis using Structure and Clumpp to cluster data

Created: 2014-02-27 | Last updated: 2014-06-10

Credits: User Ylebras

Workflow FunctionalClusterDavid (1)

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This workflow takes a list of Entrez Gene IDs as input and submits them to the DAVID REST API for functional clustering using OG annotaiton, biological pathways and disease associations. Used for analysing a set of genes (i.e. those differentially expressed for a particular disease condition).

Created: 2014-09-05

Credits: User Katy Wolstencroft

Workflow SNP identification and evaluation for Diab... (1)

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This workflow gathers SNP information for a gene set of Diabetes Type II phenotype using BioMart queries. Furthermore, GO Terms and functional annotation clustering are defined for this gene set using FunctionalClusterDavid workflow. 

Created: 2015-06-23

Credits: User Nikolaos Bismpikos User Katy Wolstencroft

Attributions: Workflow FunctionalClusterDavid

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Non-Information Resource URI: https://www.myexperiment.org/tags/788


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