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» Algorithms for Clustering Data
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SSPR
2004
Springer
14 years 1 months 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
CGO
2006
IEEE
14 years 2 months ago
Compiler-directed Data Partitioning for Multicluster Processors
Multicluster architectures overcome the scaling problem of centralized resources by distributing the datapath, register file, and memory subsystem across multiple clusters connec...
Michael L. Chu, Scott A. Mahlke
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 8 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
ICML
2005
IEEE
14 years 9 months ago
Learning from labeled and unlabeled data on a directed graph
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
Bernhard Schölkopf, Dengyong Zhou, Jiayuan Hu...
IPL
2007
96views more  IPL 2007»
13 years 8 months ago
On constructing an optimal consensus clustering from multiple clusterings
Computing a suitable measure of consensus among several clusterings on the same data is an important problem that arises in several areas such as computational biology and data mi...
Piotr Berman, Bhaskar DasGupta, Ming-Yang Kao, Jie...