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» Manifold Clustering of Shapes
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JCP
2008
133views more  JCP 2008»
15 years 6 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
142
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PKDD
2004
Springer
90views Data Mining» more  PKDD 2004»
15 years 11 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
15 years 8 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»
16 years 22 days 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»
15 years 11 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