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» Manifold Clustering of Shapes
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JCP
2008
133views more  JCP 2008»
13 years 8 months ago
DDSC : A Density Differentiated Spatial Clustering Technique
Finding clusters with widely differing sizes, shapes and densities in presence of noise and outliers is a challenging job. The DBSCAN is a versatile clustering algorithm that can f...
Bhogeswar Borah, Dhruba K. Bhattacharyya
PKDD
2004
Springer
90views Data Mining» more  PKDD 2004»
14 years 1 months ago
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering
The more sophisticated fuzzy clustering algorithms, like the Gustafson–Kessel algorithm [11] and the fuzzy maximum likelihood estimation (FMLE) algorithm [10] offer the possibil...
Christian Borgelt, Rudolf Kruse
FLAIRS
2008
13 years 10 months ago
Fuzzy Clustering Paradigm and the Shape-Based Image Retrieval
This paper presents a strategy for shape-based image retrieval in which moment invariants form a feature vector to describe the shape of an object. Fuzzy k-means clustering is use...
Nan Xing, Imran Shafiq Ahmad
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
14 years 3 months ago
On K-Means Cluster Preservation Using Quantization Schemes
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 1 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu