184 search results - page 18 / 37 » Random Projection for High Dimensional Data Clustering: A Cl... |
162
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Median-shift is a mode seeking algorithm that relies on
computing the median of local neighborhoods, instead of
the mean. We further combine median-shift with Locality
Sensitive...
172
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ICDM
2005
IEEE
15 years 11 months ago
2005
IEEE
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
147
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LWA
2007
15 years 7 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
165
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
175
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KDD
2006
ACM
16 years 6 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...