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BMCBI
2006
150views more  BMCBI 2006»
13 years 10 months ago
Cluster analysis of protein array results via similarity of Gene Ontology annotation
Background: With the advent of high-throughput proteomic experiments such as arrays of purified proteins comes the need to analyse sets of proteins as an ensemble, as opposed to t...
Cheryl Wolting, C. Jane McGlade, David Tritchler
ICPP
2000
IEEE
14 years 2 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
BMCBI
2011
13 years 4 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham
PAKDD
2004
ACM
83views Data Mining» more  PAKDD 2004»
14 years 3 months ago
Providing Diversity in K-Nearest Neighbor Query Results
Abstract. Given a point query Q in multi-dimensional space, K-Nearest Neighbor (KNN) queries return the K closest answers in the database with respect to Q. In this scenario, it is...
Anoop Jain, Parag Sarda, Jayant R. Haritsa
CVPR
2007
IEEE
14 years 12 months ago
ROI-SEG: Unsupervised Color Segmentation by Combining Differently Focused Sub Results
This paper presents a novel unsupervised color segmentation scheme named ROI-SEG, which is based on the main idea of combining a set of different sub-segmentation results. We prop...
Michael Donoser, Horst Bischof