Distance functions and topologies
American Mathematical Monthly
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformation invariants in object recognition
Computer Vision and Image Understanding
Point Signatures: A New Representation for 3D Object Recognition
International Journal of Computer Vision
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Scalable Approach to Balanced, High-Dimensional Clustering of Market-Baskets
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Constrained K-means Clustering with Background Knowledge
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm
Neural Processing Letters
A probabilistic framework for semi-supervised clustering
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A Flexible Similarity Measure for 3D Shapes Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
3D free-form object recognition in range images using local surface patches
Pattern Recognition Letters
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Context Dependent Distance Measure for Shape Clustering
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Comparisons of 3D Shape Clustering with Different Face Area Definitions
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Shape-based clustering for 3D CAD objects: A comparative study of effectiveness
Computer-Aided Design
A Data Clustering Tool with Cluster Validity Indices
ICC '09 Proceedings of the 2009 International Conference on Computing, Engineering and Information
MAP estimation of semi-metric MRFs via hierarchical graph cuts
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Sum-of-squares based cluster validity index and significance analysis
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Fuzzy clustering of incomplete data based on cluster dispersion
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Clustering appearances of objects under varying illumination conditions
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
3D scene retrieval and recognition with Depth Gradient Images
Pattern Recognition Letters
Metric labeling and semi-metric embedding for protein annotation prediction
RECOMB'11 Proceedings of the 15th Annual international conference on Research in computational molecular biology
CLINCH: clustering incomplete high-dimensional data for data mining application
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Fuzzy c-means clustering of incomplete data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Image registration and object recognition using affine invariants and convex hulls
IEEE Transactions on Image Processing
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Contrary to most of the existing 3D shape clustering methods, in which all the objects in a dataset must be classified in clusters, in this paper we tackle an incomplete but reliable unsupervised clustering solution. The central idea lies in obtaining coherent 3D shape groups using a consensus between different similarity measures which are defined in a common 3D shape representation framework. Our goal, therefore, is to extract some consistent groups of objects, considering the incomplete classification, if this occurs, as a natural result. The Weighted Cone Curvature (WCC) is defined as an overall feature which synthesizes a set of curvature levels on the nodes of a standard triangular mesh representation. The WCC concept is used to define a master descriptor called an RC-Image on which up to eight similarity measures are defined. A hierarchical clustering process is then carried out for all the measures and evaluated by means of a clustering confidence measure. Finally, a consensus between the best measures is achieved to provide a coherent group of objects. The proposed clustering approach has been tested on a set of mesh models belonging to a wide variety of free-shape objects, yielding promising results. The results of our experiments demonstrate that both the 3D shape descriptor used and the clustering strategy proposed might be useful for future developments in the unsupervised grouping field.