Scaling Theorems for Zero Crossings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Uniqueness of the Gaussian Kernel for Scale-Space Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for clustering data
Algorithms for clustering data
Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space for Discrete Signals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Numerical continuation methods: an introduction
Numerical continuation methods: an introduction
A deterministic annealing approach to clustering
Pattern Recognition Letters
Pattern Recognition
A Classification EM algorithm for clustering and two stochastic versions
Computational Statistics & Data Analysis - Special issue on optimization techniques in statistics
Neural Computation
Self-organization as an iterative kernel smoothing process
Neural Computation
Data clustering using a model granular magnet
Neural Computation
Bayesian Approaches to Gaussian Mixture Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Hierarchical, unsupervised learning with growing via phase transitions
Neural Computation
Scale-based clustering using the radial basis function network
IEEE Transactions on Neural Networks
Multimedia edges: finding hierarchy in all dimensions
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Density-Based Multiscale Data Condensation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algorithm for Data-Driven Bandwidth Selection
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
Temporal event clustering for digital photo collections
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Video retrieval using spatio-temporal descriptors
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Document clustering via adaptive subspace iteration
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Analyzing perceptual organization in information graphics
Information Visualization - Special issue of selected and extended InfoVis 03 papers
Object-Based Image Analysis Using Multiscale Connectivity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Temporal event clustering for digital photo collections
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Computer Vision and Image Understanding
Data Mining and Knowledge Discovery
A New Density-Based Scheme for Clustering Based on Genetic Algorithm
Fundamenta Informaticae
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
Pattern Recognition Letters
An overview of clustering methods
Intelligent Data Analysis
Collaborative clustering with the use of Fuzzy C-Means and its quantification
Fuzzy Sets and Systems
A Density-Based Data Reduction Algorithm for Robust Estimators
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Critical Scale for Unsupervised Cluster Discovery
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Scale-Space Based Weak Regressors for Boosting
ECML '07 Proceedings of the 18th European conference on Machine Learning
Statistically Valid Graph Representations of Scale-Space Geometry
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
An Estimation of the Optimal Gaussian Kernel Parameter for Support Vector Classification
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Automatic image pixel clustering with an improved differential evolution
Applied Soft Computing
Scale-Space Kernels for Additive Modeling
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Unsupervised cluster discovery using statistics in scale space
Engineering Applications of Artificial Intelligence
Category detection using hierarchical mean shift
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Gene transposon based clonal selection algorithm for clustering
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Computer Vision and Image Understanding
Fast and efficient strategies for model selection of Gaussian support vector machine
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
A quantum-inspired genetic algorithm for k-means clustering
Expert Systems with Applications: An International Journal
On the number of modes of a Gaussian mixture
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Scale-space clustering with recursive validation
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Outlier detection with streaming dyadic decomposition
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Volumetric Features for Video Event Detection
International Journal of Computer Vision
Mixed data object selection based on clustering and border objects
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Optimal choice of parameters for a density-based clustering algorithm
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Scale selection for anisotropic diffusion filter by Markov random field model
Pattern Recognition
Collaborative architectures of fuzzy modeling
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Interpretation and generalization of score matching
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Marrow cell segmentation by simulating visual system
ICNC'09 Proceedings of the 5th international conference on Natural computation
A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Applied Soft Computing
A model of multi-scale perceptual organization in information graphics
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
A new approach for classification: visual simulation point of view
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
A new clustering approach on the basis of dynamical neural field
Neural Computation
Knowledge acquisition in inconsistent multi-scale decision systems
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Multiscale extension of the gravitational approach to edge detection
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
EDA-USL: unsupervised clustering algorithm based on estimation of distribution algorithm
International Journal of Wireless and Mobile Computing
KDE Paring and a Faster Mean Shift Algorithm
SIAM Journal on Imaging Sciences
Determining the number of clusters using information entropy for mixed data
Pattern Recognition
Integration of particle swarm optimization and genetic algorithm for dynamic clustering
Information Sciences: an International Journal
Dynamic data condensation for classification
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Color region tracking against brightness changes
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Tensor scale: An analytic approach with efficient computation and applications
Computer Vision and Image Understanding
Rough set approximations in incomplete multi-scale information systems
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
A New Density-Based Scheme for Clustering Based on Genetic Algorithm
Fundamenta Informaticae
A heuristic hierarchical clustering based on multiple similarity measurements
Pattern Recognition Letters
Multiscale edge detection based on Gaussian smoothing and edge tracking
Knowledge-Based Systems
Interactive bivariate mode trees for visual structure analysis
Proceedings of the 27th Spring Conference on Computer Graphics
Fuzzy and hard clustering analysis for thyroid disease
Computer Methods and Programs in Biomedicine
ABK-means: an algorithm for data clustering using ABC and K-means algorithm
International Journal of Computational Science and Engineering
Summarizing high-level scene behavior
Machine Vision and Applications
A parameter-free barebones particle swarm algorithm for unsupervised pattern classification
International Journal of Hybrid Intelligent Systems
| Hi-index | 0.15 |
In pattern recognition and image processing, the major application areas of cluster analysis, human eyes seem to possess a singular aptitude to group objects and find important structures in an efficient and effective way. Thus, a clustering algorithm simulating a visual system may solve some basic problems in these areas of research. From this point of view, we propose a new approach to data clustering by modeling the blurring effect of lateral retinal interconnections based on scale space theory. In this approach, a data set is considered as an image with each light point located at a datum position. As we blur this image, smaller light blobs merge into larger ones until the whole image becomes one light blob at a low enough level of resolution. By identifying each blob with a cluster, the blurring process generates a family of clusterings along the hierarchy. The advantages of the proposed approach are: 1) The derived algorithms are computationally stable and insensitive to initialization and they are totally free from solving difficult global optimization problems. 2) It facilitates the construction of new checks on cluster validity and provides the final clustering a significant degree of robustness to noise in data and change in scale. 3) It is more robust in cases where hyperellipsoidal partitions may not be assumed. 4) It is suitable for the task of preserving the structure and integrity of the outliers in the clustering process. 5) The clustering is highly consistent with that perceived by human eyes. 6) The new approach provides a unified framework for scale-related clustering algorithms recently derived from many different fields such as estimation theory, recurrent signal processing on self-organization feature maps, information theory and statistical mechanics, and radial basis function neural networks.