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» Applying Spectral Methods to Software Clustering
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FSTTCS
2001
Springer
13 years 12 months ago
On Clustering Using Random Walks
Abstract. We propose a novel approach to clustering, based on deterministic analysis of random walks on the weighted graph associated with the clustering problem. The method is cen...
David Harel, Yehuda Koren
ICANN
2005
Springer
14 years 26 days ago
Self Organizing Map (SOM) Approach for Classification of Power Quality Events
In this work, Self Organizing Map (SOM) is used in order to classify the types of defections in electrical systems, known as Power Quality (PQ) events. The features for classificat...
Emin Germen, Dogãn Gökhan Ece, Öm...
TASLP
2011
13 years 2 months ago
Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment
—This paper presents a blind source separation method for convolutive mixtures of speech/audio sources. The method can even be applied to an underdetermined case where there are ...
Hiroshi Sawada, Shoko Araki, Shoji Makino
ICDAR
2009
IEEE
13 years 5 months ago
Analysis of Book Documents' Table of Content Based on Clustering
Table of contents (TOC) recognition has attracted a great deal of attention in recent years. After reviewing the merits and drawbacks of the existing TOC recognition methods, we h...
Liangcai Gao, Zhi Tang, Xiaofan Lin, Xin Tao, Yimi...
SOFTVIS
2010
ACM
13 years 5 months ago
Visual comparison of software architectures
Reverse engineering methods produce different descriptions of software architectures. In this work we analyze and define the task of exploring and comparing these descriptions. ...
Fabian Beck, Stephan Diehl