Accelerating exact k-means algorithms with geometric reasoning
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
An empirical analysis of techniques for constructing and searching k-dimensional trees
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient clustering of high-dimensional data sets with application to reference matching
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Genetic subtyping using cluster analysis
ACM SIGKDD Explorations Newsletter
Accelerating EM for Large Databases
Machine Learning
A Greedy EM Algorithm for Gaussian Mixture Learning
Neural Processing Letters
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multivariate Saddle Point Detection for Statistical Clustering
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
An expectation-maximization algorithm working on data summary
Second international workshop on Intelligent systems design and application
FastSLAM: a factored solution to the simultaneous localization and mapping problem
Eighteenth national conference on Artificial intelligence
Clustering in massive data sets
Handbook of massive data sets
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
Scalable Model-based Clustering by Working on Data Summaries
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
GraphZip: a fast and automatic compression method for spatial data clustering
Proceedings of the 2004 ACM symposium on Applied computing
K-means clustering via principal component analysis
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Fast and robust short video clip search using an index structure
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Privacy-preserving clustering with distributed EM mixture modeling
Knowledge and Information Systems
Scalable Model-Based Clustering for Large Databases Based on Data Summarization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maxdiff kd-trees for data condensation
Pattern Recognition Letters
Fast nonparametric clustering with Gaussian blurring mean-shift
ICML '06 Proceedings of the 23rd international conference on Machine learning
Block-quantized kernel matrix for fast spectral embedding
ICML '06 Proceedings of the 23rd international conference on Machine learning
Image segmentation by unsupervised sparse clustering
Pattern Recognition Letters
Cluster analysis of massive datasets in astronomy
Statistics and Computing
Algorithms for clustering high dimensional and distributed data
Intelligent Data Analysis
Anomaly detection in a mobile communication network
Computational & Mathematical Organization Theory
A genetic algorithm that exchanges neighboring centers for k-means clustering
Pattern Recognition Letters
Fast collapsed gibbs sampling for latent dirichlet allocation
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
UNSUPERVISED ANOMALY DETECTION IN LARGE DATABASES USING BAYESIAN NETWORKS
Applied Artificial Intelligence
Collapsed variational Dirichlet process mixture models
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Bayesian k-Means as a "Maximization-expectation" algorithm
Neural Computation
Grouped data clustering using a fast mixture-model-based algorithm
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Scalable model-based cluster analysis using clustering features
Pattern Recognition
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
Simplifying mixture models through function approximation
IEEE Transactions on Neural Networks
A fast algorithm for robust mixtures in the presence of measurement errors
IEEE Transactions on Neural Networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
The anchors hierarchy: using the triangle inequality to survive high dimensional data
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Gossip-Based greedy gaussian mixture learning
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
A fast implementation of the EM algorithm for mixture of multinomials
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Accuracy-based classification EM: combining clustering with prediction
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
When classification becomes a problem: using branch-and-bound to improve classification efficiency
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
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