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NAACL
2003
15 years 8 months ago
Discriminating Among Word Senses Using McQuitty's Similarity Analysis
This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it occurs. Instances of a word that occur in si...
Amruta Purandare
CVPR
2008
IEEE
16 years 8 months ago
Coherent Laplacian 3-D protrusion segmentation
In this paper, an analysis of locally linear embedding (LLE) in the context of clustering is developed. As LLE conserves the local affine coordinates of points, shape protrusions ...
Fabio Cuzzolin, Diana Mateus, David Knossow, Edmon...
IJIT
2004
15 years 8 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...
152
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IDA
2005
Springer
16 years 5 days ago
Probabilistic Latent Clustering of Device Usage
Abstract. We investigate an application of Probabilistic Latent Semantics to the problem of device usage analysis in an infrastructure in which multiple users have access to a shar...
Jean-Marc Andreoli, Guillaume Bouchard
ICANN
2010
Springer
15 years 7 months ago
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
Rudolf Mayer, Andreas Rauber