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» Constraint-Based Subspace Clustering.
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SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
13 years 9 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
CIDU
2010
13 years 5 months ago
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering
There has been a lot of research targeting text classification. Many of them focus on a particular characteristic of text data - multi-labelity. This arises due to the fact that a ...
Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza,...
SSDBM
2008
IEEE
177views Database» more  SSDBM 2008»
14 years 2 months ago
ELKI: A Software System for Evaluation of Subspace Clustering Algorithms
In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition – ...
Elke Achtert, Hans-Peter Kriegel, Arthur Zimek
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
13 years 9 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
DIS
2009
Springer
14 years 2 months ago
Subspace Discovery for Promotion: A Cell Clustering Approach
The promotion analysis problem has been proposed in [16], where ranking-based promotion query processing techniques are studied to effectively and efficiently promote a given obje...
Tianyi Wu, Jiawei Han