Vector quantization and signal compression
Vector quantization and signal compression
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Neural networks for pattern recognition
Neural networks for pattern recognition
Very fast EM-based mixture model clustering using multiresolution kd-trees
Proceedings of the 1998 conference on Advances in neural information processing systems II
Multidimensional divide-and-conquer
Communications of the ACM
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Cached sufficient statistics for efficient machine learning with large datasets
Journal of Artificial Intelligence Research
Multiresolution instance-based learning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Scalability for clustering algorithms revisited
ACM SIGKDD Explorations Newsletter
A local search approximation algorithm for k-means clustering
Proceedings of the eighteenth annual symposium on Computational geometry
FREM: fast and robust EM clustering for large data sets
Proceedings of the eleventh international conference on Information and knowledge management
Alternatives to the k-means algorithm that find better clusterings
Proceedings of the eleventh international conference on Information and knowledge management
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards a Simple Clustering Criterion Based on Minimum Length Encoding
ECML '02 Proceedings of the 13th European Conference on Machine Learning
K-Harmonic Means - A Spatial Clustering Algorithm with Boosting
TSDM '00 Proceedings of the First International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining-Revised Papers
Extended K-means with an Efficient Estimation of the Number of Clusters
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Acceleration of K-Means and Related Clustering Algorithms
ALENEX '02 Revised Papers from the 4th International Workshop on Algorithm Engineering and Experiments
Maintaining variance and k-medians over data stream windows
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Clustering in massive data sets
Handbook of massive data sets
A k-Median Algorithm with Running Time Independent of Data Size
Machine Learning
Efficient Disk-Based K-Means Clustering for Relational Databases
IEEE Transactions on Knowledge and Data Engineering
A local search approximation algorithm for k-means clustering
Computational Geometry: Theory and Applications - Special issue on the 18th annual symposium on computational geometrySoCG2002
Subspace clustering for high dimensional categorical data
ACM SIGKDD Explorations Newsletter
Journal of Computational Physics
Integrating K-Means Clustering with a Relational DBMS Using SQL
IEEE Transactions on Knowledge and Data Engineering
A fast k-means implementation using coresets
Proceedings of the twenty-second annual symposium on Computational geometry
The complexity of non-hierarchical clustering with instance and cluster level constraints
Data Mining and Knowledge Discovery
Efficient active contour and K-means algorithms in image segmentation
Scientific Programming - Distributed Computing and Applications
New Algorithms for Efficient High-Dimensional Nonparametric Classification
The Journal of Machine Learning Research
Anomaly detection in a mobile communication network
Computational & Mathematical Organization Theory
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Clustering, community partition and disjoint spanning trees
ACM Transactions on Algorithms (TALG)
Data mining on the cell broadband engine
Proceedings of the 22nd annual international conference on Supercomputing
Tree-based partition querying: a methodology for computing medoids in large spatial datasets
The VLDB Journal — The International Journal on Very Large Data Bases
Fast collapsed gibbs sampling for latent dirichlet allocation
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Improvement of the k-means clustering filtering algorithm
Pattern Recognition
Density-weighted nyström method for computing large kernel eigensystems
Neural Computation
K-means in space: a radiation sensitivity evaluation
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A fast k-means clustering algorithm using cluster center displacement
Pattern Recognition
Application of Clustering Techniques in a Network Security Testing System
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Clustering for Video Retrieval
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Maximum margin clustering made practical
IEEE Transactions on Neural Networks
Bayesian k-Means as a "Maximization-expectation" algorithm
Neural Computation
Fast global k-means clustering using cluster membership and inequality
Pattern Recognition
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
Quantization-based clustering algorithm
Pattern Recognition
A fast algorithm for robust mixtures in the presence of measurement errors
IEEE Transactions on Neural Networks
HengHa: data harvesting detection on hidden databases
Proceedings of the 2010 ACM workshop on Cloud computing security workshop
Turbopixel segmentation using Eigen-images
IEEE Transactions on Image Processing
Clustered Nyström method for large scale manifold learning and dimension reduction
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
A new-fangled FES-k-Means clustering algorithm for disease discovery and visual analytics
EURASIP Journal on Bioinformatics and Systems Biology
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
The anchors hierarchy: using the triangle inequality to survive high dimensional data
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Knowledge-Conscious data clustering
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Enhancing network processor simulation speed with statistical input sampling
HiPEAC'05 Proceedings of the First international conference on High Performance Embedded Architectures and Compilers
Weighted k-means for density-biased clustering
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Streaming k-means on well-clusterable data
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
On autonomous k-means clustering
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Medoid queries in large spatial databases
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
An accurate MDS-Based algorithm for the visualization of large multidimensional datasets
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Optimised K-means for web search
International Journal of Advanced Intelligence Paradigms
A heuristic for non-convex variance-based clustering criteria
SEA'12 Proceedings of the 11th international conference on Experimental Algorithms
Dynamic k-means: a clustering technique for moving object trajectories
International Journal of Intelligent Information and Database Systems
The effectiveness of lloyd-type methods for the k-means problem
Journal of the ACM (JACM)
DS-means: distributed data stream clustering
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
Scalable K-Means by ranked retrieval
Proceedings of the 7th ACM international conference on Web search and data mining
Clustering-based ensembles for one-class classification
Information Sciences: an International Journal
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