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6 years 4 months ago
Constrained Clustering: Effective Constraint Propagation with Imperfect Oracles
While clustering is usually an unsupervised operation, there are circumstances in which we have prior belief that pairs of samples should (or should not) be assigned to the same cl...
X. Zhu, C. C. Loy, and S. Gong
IAT
2010
IEEE
9 years 15 days ago
An Interactive Tool for Constrained Clustering with Human Sampling
Abstract--This paper describes an interactive tool for constrained clustering that helps users to select effective constraints efficiently during the constrained clustering process...
Masayuki Okabe, Seiji Yamada
CIKM
2010
Springer
9 years 1 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the diļ¬€erent views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob
ICASSP
2010
IEEE
9 years 2 months ago
Song-level multi-pitch tracking by heavily constrained clustering
Given a set of monophonic, harmonic sound sources (e.g. human voices or wind instruments), multi-pitch estimation (MPE) is the task of determining the instantaneous pitches of eac...
Zhiyao Duan, Jinyu Han, Bryan Pardo
BMVC
1998
9 years 3 months ago
A Method for Dynamic Clustering of Data
This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
Arnaldo J. Abrantes, Jorge S. Marques
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
9 years 3 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
9 years 6 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ECML
2007
Springer
9 years 8 months ago
Clustering Trees with Instance Level Constraints
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
Jan Struyf, Saso Dzeroski
ICPR
2008
IEEE
9 years 9 months ago
Partial closure-based constrained clustering with order ranking
In this paper we propose a new partial closure-based constrained clustering algorithm. We introduce closures into the partial constrained clustering and we propose a new measureme...
Shaohong Zhang, Hau-San Wong
ICCV
2009
IEEE
10 years 7 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
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