عنوان فارسی مقاله: خوشه بندی گروه
عنوان انگلیسی مقاله:
فهرست مطالب
Ensemble Clustering
Why Ensemble Clustering?
Challenge I: how to Generate clustering ensembles?
Challenge II: how to combine multiple partitions?
Median partition based approaches
Relabeling/voting based methods
Co-association matrix based methods
Graph based methods
ENSEMBLE CLUSTERING IN IMAGE SEGMENTATION
Other research problems
بخشی از مقاله
Challenge I: how to Generate clustering ensembles?
Produce a clustering ensemble by either
Using different clustering algorithms
E.g. K-means, Hierarchical Clustering, Fuzzy C-means, Spectral Clustering, Gaussian Mixture Model,….
Running the same algorithm many times with different parameters or initializations, e.g.,
run K-means algorithm N times using randomly initialized clusters centers
use different dissimilarity measures
use different number of clusters
Using different samples of the data
E.g. many different bootstrap samples from the givendata
Random projections (feature extraction)
E.g. project the data onto a random subspace
Feature selection
E.g. use different subsets of features
کلمات کلیدی:
PDF]Cluster ensembles - IDEAL ideal.ece.utexas.edu/pubs/pdf/2011/ghac11.pdf by J Ghosh - Cited by 115 - Related articles Cluster ensembles combine multiple clusterings of a set of objects into a single consolidated clustering, often referred to as the consensus solution. Consensus. [PDF]A Survey: Clustering Ensembles Techniques - Amazon S3 https://s3-us-west-2.amazonaws.com/mlsurveys/47.pdf by R Ghaemi - Cited by 116 - Related articles clustering ensembles algorithms such as computational complexity, robustness, simplicity and accuracy on different datasets in previous techniques. [PDF]An Ensemble Method for Clustering https://www.r-project.org/conferences/DSC-2003/Drafts/WeingesselEtAl.pdf by A Weingessel - Cited by 41 - Related articles An Ensemble Method for Clustering. Andreas Weingessel, Evgenia Dimitriadou and Kurt Hornik. Institut für Statistik und Wahrscheinlichkeitstheorie, TU Wien, ... Spectral Ensemble Clustering - ACM Digital Library dl.acm.org/citation.cfm?id=2783287 by H Liu - 2015 - Cited by 26 - Related articles Aug 10, 2015 - Ensemble clustering, also known as consensus clustering, is emerging as a promising solution for multi-source and/or heterogeneous data ... Locally Weighted Ensemble Clustering https://arxiv.org › cs by D Huang - 2016 - Related articles May 17, 2016 - A novel ensemble-driven cluster validity measure is introduced, and a locally ... to serve as a summary for the ensemble of diverse clusters. A SURVEY OF CLUSTERING ENSEMBLE ALGORITHMS www.worldscientific.com/doi/pdf/10.1142/S0218001411008683 by S VEGA-PONS - 2011 - Cited by 238 - Related articles results of clustering algorithms. It is based on the success of the combination of supervised classi¯ers. Given a set of objects, a cluster ensemble method ... Ensemble Clustering for Biological Datasets | InTechOpen https://www.intechopen.com/books/.../ensemble-clustering-for-biological-datasets by H Pirim - 2012 - Cited by 2 - Related articles Ensemble Clustering for Biological Datasets | InTechOpen, Published on: 2012-11-28. Authors: Harun Pirim and Şadi Evren Şeker. [PDF]Cluster Ensembles – A Knowledge Reuse ... - Alexander Strehl strehl.com/download/strehl-jmlr02.pdf by A Strehl - 2002 - Cited by 2939 - Related articles Submitted 4/02; Published 12/02. Cluster Ensembles – A Knowledge Reuse Framework for. Combining Multiple Partitions. Alexander Strehl alexander@strehl. Searches related to Ensemble Clustering ensemble clustering r a survey of clustering ensemble algorithms consensus clustering r ensemble clustering algorithm consensus clustering tutorial consensus clustering cdf consensus clustering matlab what is bayesian clustering
