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» Identifying Objects Using Cluster and Concept Analysis
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134
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ISPD
2005
ACM
188views Hardware» more  ISPD 2005»
15 years 6 months ago
A semi-persistent clustering technique for VLSI circuit placement
Placement is a critical component of today's physical synthesis flow with tremendous impact on the final performance of VLSI designs. However, it accounts for a significant p...
Charles J. Alpert, Andrew B. Kahng, Gi-Joon Nam, S...
109
Voted
BMCBI
2010
94views more  BMCBI 2010»
15 years 26 days ago
A comparative study of conservation and variation scores
Background: Conservation and variation scores are used when evaluating sites in a multiple sequence alignment, in order to identify residues critical for structure or function. A ...
Fredrik Johansson, Hiroyuki Toh
104
Voted
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 1 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
113
Voted
FOIKS
2010
Springer
14 years 10 months ago
Two Complementary Classification Methods for Designing a Concept Lattice from Interval Data
This paper holds on the application of two classification methods based on formal concept analysis (FCA) to interval data. The first method uses a similarity between objects while ...
Mehdi Kaytoue-Uberall, Zainab Assaghir, Nizar Mess...
HICSS
2007
IEEE
135views Biometrics» more  HICSS 2007»
15 years 7 months ago
Context-Based Recommender Systems in Conventional Grocery--An Economic Analysis
In today’s grocery the products are getting more homogenous and attributes are getting more complex. Consumers should be supported in their decisions during the shopping process...
Daniel Ch. Buser