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» Clustering Rules Using Empirical Similarity of Support Sets
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RECOMB
2002
Springer
16 years 3 days ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
ICCS
2007
Springer
15 years 6 months ago
Characterizing Implications of Injective Partial Orders
Abstract. Previous work of the authors has studied a notion of implication between sets of sequences based on the conceptual structure of a Galois lattice, and also a way of repres...
José L. Balcázar, Gemma C. Garriga
AAAI
2007
15 years 2 months ago
A Randomized String Kernel and Its Application to RNA Interference
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
Shibin Qiu, Terran Lane, Ljubomir J. Buturovic
KAIS
2000
87views more  KAIS 2000»
14 years 11 months ago
An Index Structure for Data Mining and Clustering
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
Xiong Wang, Jason Tsong-Li Wang, King-Ip Lin, Denn...
ICDE
2000
IEEE
120views Database» more  ICDE 2000»
16 years 1 months ago
Deflating the Dimensionality Curse Using Multiple Fractal Dimensions
Nearest neighbor queries are important in many settings, including spatial databases (Find the k closest cities) and multimedia databases (Find the k most similar images). Previou...
Bernd-Uwe Pagel, Flip Korn, Christos Faloutsos