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PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
12 years 11 months ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
BMCBI
2008
104views more  BMCBI 2008»
13 years 8 months ago
Comparison of methods for estimating the nucleotide substitution matrix
Background: The nucleotide substitution rate matrix is a key parameter of molecular evolution. Several methods for inferring this parameter have been proposed, with different math...
Maribeth Oscamou, Daniel McDonald, Von Bing Yap, G...
ICIP
1998
IEEE
14 years 10 months ago
Distance Measures for Color Image Retrieval
In this paper we address the issue of image database retrieval based on color using various vector distance metrics. Our system is based on color segmentation where only a few rep...
Dimitrios Androutsos, Kostas N. Plataniotis, Anast...
IDA
2009
Springer
14 years 1 months ago
Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
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 ...
Frank Höppner, Frank Klawonn
ICML
2009
IEEE
14 years 9 months ago
Information theoretic measures for clusterings comparison: is a correction for chance necessary?
Information theoretic based measures form a fundamental class of similarity measures for comparing clusterings, beside the class of pair-counting based and set-matching based meas...
Xuan Vinh Nguyen, Julien Epps, James Bailey