127 search results - page 3 / 26 » A new Mallows distance based metric for comparing clustering... |
82
Voted
PR
2007
14 years 9 months ago
2007
In this paper, an evolutionary clustering technique is described that uses a new point symmetry-based distance measure. The algorithm is therefore able to detect both convex and n...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In this paper we propose a new distance metric for probability density functions (PDF). The main advantage of this metric is that unlike the popular Kullback-Liebler (KL)...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
Similarity search is an important problem in information retrieval. This similarity is based on a distance. Symbolic representation of time series has attracted many researchers re...
AAIM
2008
Springer
15 years 3 months ago
2008
Springer
A promising approach to compare two graph clusterings is based on using measurements for calculating the distance between them. Existing measures either use the structure of cluste...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...