group :: uw_ws14_web2.0 | BibSonomy

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1WWW2008 Refereed Papers - WWW 2008: Refereed Papers
http://www2008.org/papers/fp648.html
18 years ago by @hotho
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2008
toread
del.icio.us
clustering
folksonomy
www
papers
2008toreaddel.icio.usclusteringfolksonomywwwpapers
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1(WO/2006/116196) MEDIA OBJECT METADATA ASSOCIATION AND RANKING
http://www.wipo.int/pctdb/en/wo.jsp?WO=2006%2F116196&IA=WO2006%2F116196&DISPLAY=STATUS
18 years ago by @hotho
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toread
clustering
folksonomy
association
tag
rules
analysis
toreadclusteringfolksonomyassociationtagrulesanalysis
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3Communities in large networks
11:30-12:15: Jean-Loup Guillaume, Université catholique de Louvain, Belgium and Université de Paris 6, France Ultra-fast multi-resolution method for detecting communities in large networks
18 years ago by @hotho
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toread
clustering
networks
communities
toreadclusteringnetworkscommunities
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1SearchPoint
http://searchpoint.ijs.si/
18 years ago by @hotho
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2.0
clustering
engine
search
ontology
2.0clusteringenginesearchontology
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4Multi Level Clustering
http://www.softeng.cse.clrc.ac.uk/ralpar/docs/userguide/ralpar2_html/node5.html
18 years ago by @hotho
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clustering
clustering
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3Tag Sorting: Another tool in an information architect's toolbox
http://www.rashmisinha.com/archives/05_02/tag-sorting.html
19 years ago by @hotho
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tagging
clustering
folksonomy
taggingclusteringfolksonomy
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1Web community finder
http://comwatch.iit.cnr.it/
19 years ago by @hotho
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web
2007
clustering
www
community
graph
web2007clusteringwwwcommunitygraph
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2WWW2007 Paper Details
http://www2007.org/program/paper.php?id=15
19 years ago by @hotho
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2007
clustering
www
graph
dense
2007clusteringwwwgraphdense
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2Spock
http://challenge.spock.com/
19 years ago by @hotho
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web
clustering
document
challenge
webclusteringdocumentchallenge
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4Clustering comes to Flickr
http://www.rashmisinha.com/archives/05_08/flickr-clusters.html
19 years ago by @hotho
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tagging
clustering
folksonomy
flickr
taggingclusteringfolksonomyflickr
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1CRAN - Package cluster
http://cran.r-project.org/src/contrib/Descriptions/cluster.html
19 years ago by @hotho
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R
clustering
tools
Rclusteringtools
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1Graclus: a new efficient graph clustering software
http://www.cs.utexas.edu/users/dml/Software/graclus.html
19 years ago by @hotho
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clustering
tools
graph
clusteringtoolsgraph
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1Software
http://www.cs.utexas.edu/~inderjit/software.shtml
19 years ago by @hotho
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clustering
coclustering
tools
clusteringcoclusteringtools
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1FCluster
http://fuzzy.cs.uni-magdeburg.de/fcluster/
19 years ago by @hotho
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clustering
tools
fuzzy
clusteringtoolsfuzzy
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1[object HTMLImageElement]
http://www.ll.mit.edu/IST/lnknet/index.html
19 years ago by @hotho
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clustering
tools
classification
clusteringtoolsclassification
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1Document clustering with committees
http://portal.acm.org/citation.cfm?id=564412&dl=acm&coll=&CFID=15151515&CFTOKEN=6184618
19 years ago by @hotho
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clustering
text
clusteringtext
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1AlgorithmDENCLUE (MIPAV API Documentation)
http://mipav.cit.nih.gov/documentation/api/gov/nih/mipav/model/algorithms/AlgorithmDENCLUE.html
19 years ago by @hotho
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java
clustering
tools
javaclusteringtools
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2Microarray software (R packages for microarray analysis)
http://ihome.cuhk.edu.hk/~b400559/arraysoft_rpackages.html
19 years ago by @hotho
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R
clustering
tools
Rclusteringtools
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25Weka 3 - Data Mining with Open Source Machine Learning Software in Java
a collection of machine learning algorithms for data mining tasks
19 years ago by @hotho
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java
weka
clustering
tools
classification
javawekaclusteringtoolsclassification
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3CLUTO - Family of Data Clustering Software Tools | Karypis Lab
http://glaros.dtc.umn.edu/gkhome/views/cluto
19 years ago by @hotho
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dataset
clustering
dm
tools
ml
datasetclusteringdmtoolsml
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publications (hide)254
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1Single-synapse analyses of Alzheimer’s disease implicate pathologic tau, DJ1, CD47, and ApoE
T. Phongpreecha, C. Gajera, C. Liu, K. Vijayaragavan, A. Chang, M. Becker, R. Fallahzadeh, R. Fernandez, N. Postupna, E. Sherfield and 1 other author(s). Science advances, 7 (51): eabk0473 (2021)
4 years ago by @becker
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alzheimer
myown
deep
neural
citedby:scholar:timestamp:2022-3-22
learning
synapse
network
brain
cell
citedby:scholar:count:2
clustering
single
alzheimermyowndeepneuralcitedby:scholar:timestamp:2022-3-22learningsynapsenetworkbraincellcitedby:scholar:count:2clusteringsingle
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1Hierarchical clustering with prototypes via minimax linkage
J. Bien, and R. Tibshirani. Journal of the American Statistical Association, 106 (495): 1075--1084 (2011)
4 years ago by @becker
show all tags
citedby:scholar:timestamp:2022-1-28
clustering
um1
citedby:scholar:count:137
citedby:scholar:timestamp:2022-1-28clusteringum1citedby:scholar:count:137
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1Community detection in large-scale bipartite biological networks
G. Calderer, and M. Kuijjer. Frontiers in Genetics, (2021)
4 years ago by @becker
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citedby:scholar:timestamp:2022-1-27
detection
citedby:scholar:count:1
large
bipartite
clustering
biological
scale
community
networks
citedby:scholar:timestamp:2022-1-27detectioncitedby:scholar:count:1largebipartiteclusteringbiologicalscalecommunitynetworks
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2Joint optimization of an autoencoder for clustering and embedding
A. Boubekki, M. Kampffmeyer, U. Brefeld, and R. Jenssen. Machine Learning, 110 (7): 1901--1937 (Jul 1, 2021)
4 years ago by @becker
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joint
autoencoder
toread
optimization
clustering
embedding
jointautoencodertoreadoptimizationclusteringembedding
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2Temporal phenotyping using deep predictive clustering of disease progression
C. Lee, and M. Van Der Schaar. International Conference on Machine Learning, page 5767--5777. PMLR, (2020)
4 years ago by @becker
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neal
toread
disease
deep
clustering
cordis
citedby:scholar:count:6
progression
citedby:scholar:timestamp:2021-9-15
learning
temporal
joe
nealtoreaddiseasedeepclusteringcordiscitedby:scholar:count:6progressioncitedby:scholar:timestamp:2021-9-15learningtemporaljoe
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1Semi-supervised clustering methods
E. Bair. Wiley Interdisciplinary Reviews: Computational Statistics, 5 (5): 349--361 (2013)
4 years ago by @becker
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project:bmbf
supervised
clustering
citedby:scholar:count:132
semi
citedby:scholar:timestamp:2021-7-25
project:bmbfsupervisedclusteringcitedby:scholar:count:132semicitedby:scholar:timestamp:2021-7-25
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2Clustergan: Latent space clustering in generative adversarial networks
S. Mukherjee, H. Asnani, E. Lin, and S. Kannan. Proceedings of the AAAI Conference on Artificial Intelligence, 33, page 4610--4617. (2019)
4 years ago by @becker
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project:bmbf
cluster
neural
adversarial
network
space
gan
citedby:scholar:count:128
latent
citedby:scholar:timestamp:2021-7-20
clustering
unsupervised
generative
project:bmbfclusterneuraladversarialnetworkspacegancitedby:scholar:count:128latentcitedby:scholar:timestamp:2021-7-20clusteringunsupervisedgenerative
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2Semi-supervised Clustering with User Feedback
D. Cohn, R. Caruana, and A. Mccallum. (2003)
5 years ago by @schwemmlein
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feedback
supervised
clustering
semi
antrag
deconspire
user
feedbacksupervisedclusteringsemiantragdeconspireuser
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6Community structure in time-dependent, multiscale, and multiplex networks
P. Mucha, T. Richardson, K. Macon, M. Porter, and J. Onnela. science, 328 (5980): 876--878 (2010)
5 years ago by @becker
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project:bmbf
cluster
cordis
scale
dis
network
community
graph
multi
structure
clustering
funcdis
citedby:scholar:timestamp:2020-9-15
time
multiplex
dependent
multiscale
citedby:scholar:count:1565
project:bmbfclustercordisscaledisnetworkcommunitygraphmultistructureclusteringfuncdiscitedby:scholar:timestamp:2020-9-15timemultiplexdependentmultiscalecitedby:scholar:count:1565
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1VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
N. Stanley, I. Stelzer, A. Tsai, R. Fallahzadeh, E. Ganio, M. Becker, T. Phongpreecha, H. Nassar, S. Ghaemi, I. Maric and 20 other author(s). Nature Communications, 11 (1): 3738-- (2020)
5 years ago by @becker
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cytometry
mass
project:bmbf
myown
projectrelated
auto
predictive
heterogeneous
cell
p21
clustering
meta
gating
prediction
single
cytof
cytometrymassproject:bmbfmyownprojectrelatedautopredictiveheterogeneouscellp21clusteringmetagatingpredictionsinglecytof
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1Fine-Grained Mobile Application Clustering Model Using Retrofitted Document Embedding
Y. Yoon, J. Lee, S. Park, and C. Lee. ETRI Journal, 39 (4): 443-454 (2017)
5 years ago by @schwemmlein
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nlp
genre2020
clustering
document
embeddings
nlpgenre2020clusteringdocumentembeddings
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2Finding a" kneedle" in a haystack: Detecting knee points in system behavior
V. Satopaa, J. Albrecht, D. Irwin, and B. Raghavan. 2011 31st international conference on distributed computing systems workshops, page 166--171. IEEE, (2011)
6 years ago by @becker
show all tags
cluster
date
elbow
learning
knee
number
science
mining
clustering
of
kneedle
kneed
machine
clusters
clusterdateelbowlearningkneenumberscienceminingclusteringofkneedlekneedmachineclusters
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1Integrative Personal Omics Profiles during Periods of Weight Gain and Loss
B. Piening, W. Zhou, K. Contrepois, H. Röst, G. Urban, T. Mishra, B. Hanson, E. Bautista, S. Leopold, C. Yeh and 24 other author(s). Cell Systems, 6 (2): 157 - 170.e8 (2018)
6 years ago by @becker
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nalab
disruption
clustering
correlation
correlations
nalabdisruptionclusteringcorrelationcorrelations
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1An Unsupervised Learning Approach for Sketching Single-cell Data
B. DeMeo. Proceedings of the 36 th International Conference on Machine Learning (CompBio Workshop), (2019)
6 years ago by @becker
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cluster
sketching
covering
clustering
icml
sketch
pca
single
cell
clustersketchingcoveringclusteringicmlsketchpcasinglecell
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2Nonparametric mixture of Gaussian processes with constraints
J. Ross, and J. Dy. International Conference on Machine Learning, page 1346--1354. (2013)
7 years ago by @becker
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cluster
medical
process
clustering
trajectories
medicine
gaussian
clustermedicalprocessclusteringtrajectoriesmedicinegaussian
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1Community Detection for Correlation Matrices
M. MacMahon, and D. Garlaschelli. Physical Review X, 5 (2): 021006 (2015)
7 years ago by @becker
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cluster
louvain
clustering
correlation
network
community
graph
clusterlouvainclusteringcorrelationnetworkcommunitygraph
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1DB-CSC: a density-based approach for subspace clustering in graphs with feature vectors
S. Günnemann, B. Boden, and T. Seidl. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, page 565--580. Springer, (2011)
7 years ago by @becker
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citedby:scholar:count:51
louvain
citedby:scholar:timestamp:2019-2-19
dbscan
clustering
density
citedby:scholar:count:51louvaincitedby:scholar:timestamp:2019-2-19dbscanclusteringdensity
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2From Louvain to Leiden: guaranteeing well-connected communities
V. Traag, L. Waltman, and N. van Eck. arXiv preprint arXiv:1810.08473, (2018)
7 years ago by @becker
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project:bmbf
louvain
citedby:scholar:count:3
clustering
paper:cordis
leiden
citedby:scholar:timestamp:2019-2-15
project:bmbflouvaincitedby:scholar:count:3clusteringpaper:cordisleidencitedby:scholar:timestamp:2019-2-15
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11Fast unfolding of communities in large networks
V. Blondel, J. Guillaume, R. Lambiotte, and E. Lefebvre. Journal of statistical mechanics: theory and experiment, 2008 (10): P10008 (2008)
7 years ago by @becker
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citedby:scholar:count:8432
louvain
clustering
citedby:scholar:timestamp:2019-2-15
citedby:scholar:count:8432louvainclusteringcitedby:scholar:timestamp:2019-2-15
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4Clustering with t-SNE, provably
G. Linderman, and S. Steinerberger. (2017)cite arxiv:1706.02582.
7 years ago by @becker
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cluster
tsne
visualization
clustering
bio
t-sne
sne
embedding
clustertsnevisualizationclusteringbiot-snesneembedding
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