640 search results - page 8 / 128 » Watershed-Based Unsupervised Clustering |
100
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ICML
2010
IEEE
14 years 9 months ago
2010
IEEE
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
ICCS
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. This paper presents an innovative, adaptive variant of Kohonen’s selforganizing maps called ASOM, which is an unsupervised clustering method that adaptively decides on ...
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
172
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ICML
2004
IEEE
16 years 14 days ago
2004
IEEE
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...
104
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ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...