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» From Comparing Clusterings to Combining Clusterings
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ECIR
2007
Springer
13 years 9 months ago
A Hierarchical Consensus Architecture for Robust Document Clustering
Abstract. A major problem encountered by text clustering practitioners is the difficulty of determining a priori which is the optimal text representation and clustering technique f...
Xavier Sevillano, Germán Cobo, Francesc Al&...
CVPR
2004
IEEE
14 years 9 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade
CVPR
2011
IEEE
12 years 11 months ago
Max-margin Clustering: Detecting Margins from Projections of Points on Lines
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
Raghuraman Gopalan, Jagan Sankaranarayanan
BMCBI
2004
96views more  BMCBI 2004»
13 years 7 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...
IJCAI
2007
13 years 9 months ago
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation
Clustering accuracy of partitional clustering algorithm for categorical data primarily depends upon the choice of initial data points (modes) to instigate the clustering process. ...
Shehroz S. Khan, Shri Kant