1277 search results - page 41 / 256 » The Google Similarity Distance |
ILP
2003
Springer
15 years 2 months ago
2003
Springer
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
116
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ISAAC
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. In this paper, we consider the problem of predicate encryption and focus on the predicate for testing whether the hamming distance between the attribute X of a data item ...
IDA
2009
Springer
15 years 2 months ago
2009
Springer
Although k-means clustering is often applied to time series clustering, the underlying Euclidean distance measure is very restrictive in comparison to the human perception of time ...
131
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PVLDB
2011
14 years 17 days ago
2011
The Hausdorff distance is commonly used as a similarity measure between two point sets. Using this measure, a set X is considered similar to Y iff every point in X is close to at ...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Although most time-series data mining research has concentrated on providing solutions for a single distance function, in this work we motivate the need for a single index structu...