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Finding the k-closest pairs in metric spaces
H Kurasawa, A Takasu, J Adachi - Proceedings of the 1st Workshop on …, 2011 - dl.acm.org
We investigated the problem of reducing the cost of searching for the k closest pairs in metric
spaces. In general, ak-closest pair search method initializes the upper bound distance …
spaces. In general, ak-closest pair search method initializes the upper bound distance …
Pivot selection method for optimizing both pruning and balancing in metric space indexes
We researched to try to find a way to reduce the cost of nearest neighbor searches in metric
spaces. Many similarity search indexes recursively divide a region into subregions by using …
spaces. Many similarity search indexes recursively divide a region into subregions by using …
Optimal pivot selection method based on the partition and the pruning effect for metric space indexes
This paper proposes a new method to reduce the cost of nearest neighbor searches in
metric spaces. Many similarity search indexes recursively divide a region into subregions by …
metric spaces. Many similarity search indexes recursively divide a region into subregions by …
Margin-based pivot selection for similarity search indexes
When develo** an index for a similarity search in metric spaces, how to divide the space
for effective search pruning is a fundamental issue. We present Maximal Metric Margin …
for effective search pruning is a fundamental issue. We present Maximal Metric Margin …