5215 search results - page 194 / 1043 » Quantum clustering algorithms |
155
Voted
ICGI
2004
Springer
15 years 11 months ago
2004
Springer
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
176
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
206
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ICML
1995
IEEE
16 years 6 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
186
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NIPS
1994
15 years 7 months ago
1994
This paper studies the convergence properties of the well known K-Means clustering algorithm. The K-Means algorithm can be described either as a gradient descent algorithmor by sl...
143
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IPL
2008
15 years 6 months ago
2008
The problem of biclustering consists of the simultaneous clustering of rows and columns of a matrix such that each of the submatrices induced by a pair of row and column clusters ...