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108
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JCP
2008
15 years 2 months ago
2008
Finding clusters with widely differing sizes, shapes and densities in presence of noise and outliers is a challenging job. The DBSCAN is a versatile clustering algorithm that can f...
104
Voted
ICPR
2008
IEEE
16 years 3 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...
114
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NIPS
2008
15 years 4 months ago
2008
Aiming towards the development of a general clustering theory, we discuss abstract axiomatization for clustering. In this respect, we follow up on the work of Kleinberg, ([1]) tha...
106
Voted
IPPS
2010
IEEE
15 years 16 days ago
2010
IEEE
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
95
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
In many clustering applications, the user has some vague notion of the number and membership of the desired clusters. However, it is difficult for the user to provide such knowled...