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» Approximate Kernel Clustering
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NN
1998
Springer
177views Neural Networks» more  NN 1998»
14 years 9 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
SAC
2002
ACM
14 years 9 months ago
A multi-agent system architecture for coordination of just-in-time production and distribution
A multi-agent system architecture for coordination of just-in-time production and distribution is presented. The problem to solve is two-fold: first the right amount of resources ...
Paul Davidsson, Fredrik Wernstedt
EUSFLAT
2009
163views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
A Fuzzy Set Approach to Ecological Knowledge Discovery
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Arkadiusz Salski

Publication
197views
13 years 5 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
COMPGEOM
2006
ACM
15 years 3 months ago
Embedding ultrametrics into low-dimensional spaces
We study the problem of minimum-distortion embedding of ultrametrics into the plane and higher dimensional spaces. Ultrametrics are a natural class of metrics that frequently occu...
Mihai Badoiu, Julia Chuzhoy, Piotr Indyk, Anastasi...