25041 search results - page 203 / 5009 » Algorithms for Clustering Data |
145
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JCP
2007
15 years 4 months ago
2007
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
139
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ISAAC
2009
Springer
15 years 11 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
161
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SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
119
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HAPTICS
2006
IEEE
15 years 10 months ago
2006
IEEE
The design of usable haptic icons (brief informational signals delivered through the sense of touch) requires a tool for measuring perceptual distances between icons that will be ...
119
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...