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ICPR
2008
IEEE
14 years 11 months ago
Time-series clustering by approximate prototypes
Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...
Pasi Fränti, Pekka Nykänen, Ville Hautam...
WWW
2007
ACM
14 years 10 months ago
A clustering method for web data with multi-type interrelated components
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
ICPR
2008
IEEE
14 years 4 months ago
An extended version of the k-means method for overlapping clustering
This paper deals with overlapping clustering, a trade off between crisp and fuzzy clustering. It has been motivated by recent applications in various domains such as information r...
Guillaume Cleuziou
ICDM
2010
IEEE
198views Data Mining» more  ICDM 2010»
13 years 7 months ago
Hierarchical Ensemble Clustering
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
Li Zheng, Tao Li, Chris H. Q. Ding
ICFHR
2010
193views Biometrics» more  ICFHR 2010»
13 years 4 months ago
A New Method for Handwritten Scene Text Detection in Video
There are many video images where hand written text may appear. Therefore handwritten scene text detection in video is essential and useful for many applications for efficient ind...
Palaiahnakote Shivakumara, Anjan Dutta, Umapada Pa...