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2ClusterLLM: Large Language Models as a Guide for Text Clustering
Y. Zhang, Z. Wang, and J. Shang. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, page 13903--13920. Singapore, Association for Computational Linguistics, (December 2023)
18 days ago by @jaeschke
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clustering
text
llm
clusteringtextllm
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2Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities
T. Chu, G. Miller, N. Walkington, and A. Wang. (2020)cite arxiv:2004.09589.
6 years ago by @kirk86
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inequality
clustering
probability
density
inequalityclusteringprobabilitydensity
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2Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities
T. Chu, G. Miller, N. Walkington, and A. Wang. (2020)cite arxiv:2004.09589.
6 years ago by @j.c.m.janssen
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fiedler
clustering
spectral
fiedlerclusteringspectral
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2Document classification with distributions of word vectors.
C. Xing, D. Wang, X. Zhang, and C. Liu. APSIPA, page 1-5. IEEE, (2014)
6 years ago by @ghagerer
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supervised
clustering
word-vectors
topic-modeling
gmms
document-embeddings
classification
supervisedclusteringword-vectorstopic-modelinggmmsdocument-embeddingsclassification
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1Thirty biologically interpretable clusters of transcription factors distinguish cancer type
Z. Abrams, M. Zucker, M. Wang, A. Asiaee Taheri, L. Abruzzo, and K. Coombes. BMC Genomics, 19 (1): 738-738 (October 2018)
6 years ago by @marcsaric
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shouldread
software
clustering
nbclust
cancer-research
rna-seq
fulltext
shouldreadsoftwareclusteringnbclustcancer-researchrna-seqfulltext
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1Triadic evolution in a large-scale mobile phone network
C. Wang, O. Lizardo, and D. Hachen. Journal of Complex Networks, (Jul 22, 2014)
6 years ago by @nonancourt
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motifs,
clustering
temporal-networks
cycles,
mobile-phones
social-networks
motifs,clusteringtemporal-networkscycles,mobile-phonessocial-networks
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1Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1
R. Verhaak, K. Hoadley, E. Purdom, V. Wang, Y. Qi, M. Wilkerson, C. Miller, L. Ding, T. Golub, J. Mesirov and 23 other author(s). Cancer Cell, 17 (1): 98 - 110 (2010)
6 years ago by @marcsaric
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glioblastoma
IDH1
clustering
cancer-research
fulltext
glioblastomaIDH1clusteringcancer-researchfulltext
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1Recent advances in clustering methods for protein interaction networks.
J. Wang, M. Li, Y. Deng, and Y. Pan. BMC genomics, (2010)
7 years ago by @karthikraman
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clustering
protein-protein-interactions
clusteringprotein-protein-interactions
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1Parallel clustering algorithm for large-scale biological data sets.
M. Wang, W. Zhang, W. Ding, D. Dai, H. Zhang, H. Xie, L. Chen, Y. Guo, and J. Xie. PloS one, (2014)
7 years ago by @karthikraman
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parallel-algorithms
data-analysis
clustering
parallel-algorithmsdata-analysisclustering
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1Clustering articles based on semantic similarity
S. Wang, and R. Koopman. Scientometrics, 111 (2): 1017--1031 (May 2017)
7 years ago by @lepsky
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clustering
clustering
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1Characteristic-Based Clustering for Time Series Data
X. Wang, K. Smith, and R. Hyndman. Data Mining and Knowledge Discovery, 13 (3): 335--364 (Nov 26, 2006)
7 years ago by @pbett
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clustering
clustering
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1Principal components analysis of protein sequence clusters
B. Wang, and M. Kennedy. J Struct Funct Genomics, 15 (1): 1-11 (March 2014)
8 years ago by @suqbar
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protein_family
sequence_space
clustering
protein
protein_subfamily
protein_sequence
pca
protein_familysequence_spaceclusteringproteinprotein_subfamilyprotein_sequencepca
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6You Are How You Click: Clickstream Analysis for Sybil Detection.
G. Wang, T. Konolige, C. Wilson, X. Wang, H. Zheng, and B. Zhao. Usenix Security, 14, page 241--256. (2013)
9 years ago by @becker
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citedby:scholar:timestamp:2017-4-23
subgroup
web
inthesis
navigation
clustering
diss
citedby:scholar:count:123
citedby:scholar:timestamp:2017-4-23subgroupwebinthesisnavigationclusteringdisscitedby:scholar:count:123
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4Unsupervised clickstream clustering for user behavior analysis
G. Wang, X. Zhang, S. Tang, H. Zheng, and B. Zhao. Conference on Human Factors in Computing Systems (CHI), page 225--236. ACM, (2016)
9 years ago by @becker
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subgroup
web
inthesis
citedby:scholar:count:23
citedby:scholar:timestamp:2017-4-22
navigation
clustering
diss
subgroupwebinthesiscitedby:scholar:count:23citedby:scholar:timestamp:2017-4-22navigationclusteringdiss
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1Luminous Quasars Do Not Live in the Most Overdense Regions of Galaxies at z~4
H. Uchiyama, J. Toshikawa, N. Kashikawa, R. Overzier, Y. Chiang, M. Tanaka, Y. Niino, S. Ishikawa, M. Onoue, K. Ichikawa and 15 other author(s). (2017)cite arxiv:1704.06050Comment: 14 pages, 11 figures.
9 years ago by @miki
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environment
quasar
clustering
density
z~4
environmentquasarclusteringdensityz~4
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1Clustering, host halos and environment of z$\sim$2 galaxies as a function of their physical properties
M. Bethermin, M. Kilbinger, E. Daddi, J. Gabor, A. Finoguenov, H. McCracken, M. Wolk, H. Aussel, V. Strazzulo, E. Floc'h and 6 other author(s). (2014)cite arxiv:1405.0492Comment: 18 pages, 16 figures, Accepted by A&A.
12 years ago by @miki
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galaxy
clustering
progenitor
evolution
galaxyclusteringprogenitorevolution
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4Personalized collaborative clustering
Y. Yue, C. Wang, K. El-Arini, and C. Guestrin. Proceedings of the 23rd international conference on World wide web, page 75--84. International World Wide Web Conferences Steering Committee, (2014)
12 years ago by @nosebrain
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personalized
todo
clustering
collaborative
linkcloud
personalizedtodoclusteringcollaborativelinkcloud
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4Personalized collaborative clustering
Y. Yue, C. Wang, K. El-Arini, and C. Guestrin. Proceedings of the 23rd international conference on World wide web, page 75--84. International World Wide Web Conferences Steering Committee, (2014)
12 years ago by @thoni
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personalized
mahalanobis
clustering
collaborative
www14
personalizedmahalanobisclusteringcollaborativewww14
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2Using Wikipedia knowledge to improve text classification
P. Wang, J. Hu, H. Zeng, and Z. Chen. Knowledge and Information Systems, 19 (3): 265-281 (2009)
13 years ago by @lopusz_kdd
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general_text_mining
clustering
general_text_miningclustering
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5A Framework for Clustering Evolving Data Streams.
C. Aggarwal, J. Han, J. Wang, and P. Yu. VLDB, page 81-92. (2003)
13 years ago by @sasoro
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mining
clustering
streams
data
ba
miningclusteringstreamsdataba
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publications (hide)45
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