Sciweavers

126 search results - page 5 / 26
» Applying Spectral Methods to Software Clustering
Sort
View
BMCBI
2010
151views more  BMCBI 2010»
13 years 7 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
14 years 7 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
IJCAI
2003
13 years 8 months ago
Spectral Learning
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
CBMS
2008
IEEE
14 years 1 months ago
ProtCV: A Tool for Extracting, Visualizing and Validating Protein Clusters Using Mass Spectra Peak-Lists
We present ProtCV (Protein Clustering and Visualization) a new software tool for grouping samples (mass spectra peak-lists) emanating from a high throughput proteomics analysis ba...
Stavroula Ventoura, Eugenia G. Giannopoulou, Elias...
BMVC
2000
13 years 8 months ago
Detecting Multiple Texture Planes using Local Spectral Distortion
This paper presents a spectral method for identifying multiple texture planes. We commence by showing how pairs of spectral peaks can be used to make direct estimates of the slant...
Eraldo Ribeiro, Edwin R. Hancock