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ISPA
2005
Springer
16 years 10 days ago
COMPACT: A Comparative Package for Clustering Assessment
Abstract. There exist numerous algorithms that cluster data-points from largescale genomic experiments such as sequencing, gene-expression and proteomics. Such algorithms may emplo...
Roy Varshavsky, Michal Linial, David Horn
SSPR
2004
Springer
16 years 5 days ago
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Fatih Murat Porikli
ECRTS
2003
IEEE
16 years 4 days ago
Fault-Tolerant Clock Synchronization for Embedded Distributed Multi-Cluster Systems
When time-triggered (TT) systems are to be deployed for large embedded real-time (RT) control systems in cars and airplanes, one way to overcome bandwidth limitations and achieve ...
Michael Paulitsch, Wilfried Steiner
192
Voted
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 11 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
CSE
2009
IEEE
15 years 11 months ago
Self-Organized Data-Energy-Aware Clustering and Routing for Wireless Sensor Networks
—In this paper we propose a clustering and routing scheme for wireless sensor networks based on a self-organizing approach. The aim of this approach is for nodes to perform an in...
Ehssan Sakhaee, Naoki Wakamiya, Masayuki Murata