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» On Bisectors for Different Distance Functions
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CBMS
2009
IEEE
15 years 8 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 7 months ago
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping
The problem of record linkage focuses on determining whether two object descriptions refer to the same underlying entity. Addressing this problem effectively has many practical ap...
Mikhail Bilenko, Sugato Basu, Mehran Sahami
BIBM
2007
IEEE
137views Bioinformatics» more  BIBM 2007»
15 years 8 months ago
A Multi-metric Similarity Based Analysis of Microarray Data
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...
Fatih Altiparmak, Selnur Erdal, Ozgur Ozturk, Haka...
CORR
2011
Springer
184views Education» more  CORR 2011»
14 years 8 months ago
Metamorphic Virus Variants Classification Using Opcode Frequency Histogram
Abstract- In order to prevent detection and evade signature-based scanning methods, which are normally exploited by antivirus softwares, metamorphic viruses use several various obf...
Babak Bashari Rad, Maslin Masrom
ICDM
2007
IEEE
119views Data Mining» more  ICDM 2007»
15 years 8 months ago
Reducing UK-Means to K-Means
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
Sau Dan Lee, Ben Kao, Reynold Cheng