Sciweavers

1674 search results - page 184 / 335
» Evaluation of clustering algorithms for gene expression data
Sort
View
ACSC
2005
IEEE
16 years 5 days ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
ICCAD
2003
IEEE
170views Hardware» more  ICCAD 2003»
16 years 3 months ago
Evaluation of Placement Techniques for DNA Probe Array Layout
DNA probe arrays have emerged as a core genomic technology that enables cost-effective gene expression monitoring, mutation detection, single nucleotide polymorphism analysis and ...
Andrew B. Kahng, Ion I. Mandoiu, Sherief Reda, Xu ...
ICML
2004
IEEE
16 years 7 months ago
A needle in a haystack: local one-class optimization
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
Koby Crammer, Gal Chechik
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 8 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 8 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon