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» Clustering of Self-Organizing Map
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DFT
2006
IEEE
85views VLSI» more  DFT 2006»
13 years 11 months ago
Inherited Redundancy and Configurability Utilization for Repairing Nanowire Crossbars with Clustered Defects
With the recent development of nanoscale materials and assembly techniques, it is envisioned to build high-density reconfigurable systems which have never been achieved by the pho...
Yadunandana Yellambalase, Minsu Choi, Yong-Bin Kim
ESANN
2008
13 years 9 months ago
Parallelizing single patch pass clustering
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
Nikolai Alex, Barbara Hammer
PDPTA
2004
13 years 9 months ago
MP-Cluma - A CORBA Based Cluster Management Tool
There are many underlying hardware architectures for execution of parallel applications. One of these is the Network of Workstations (NOW) which is an interesting solution for use...
Silke Schuch, Martin Pöppe
RIAO
2004
13 years 9 months ago
Mining Textual Data through Term Variant Clustering : the TermWatch system
We present a system for mapping the structure of research topics in a corpus. TermWatch portrays the "aboutness" of a corpus of scientific and technical publications by ...
Fidelia Ibekwe-Sanjuan, Eric SanJuan
ICML
2004
IEEE
14 years 8 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He