Sciweavers

5096 search results - page 112 / 1020
» Landscape of Clustering Algorithms
Sort
View
131
Voted
COLING
2002
15 years 4 months ago
Concept Discovery from Text
Broad-coverage lexical resources such as WordNet are extremely useful. However, they often include many rare senses while missing domain-specific senses. We present a clustering a...
Dekang Lin, Patrick Pantel
136
Voted
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 9 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...
SIGMOD
1998
ACM
233views Database» more  SIGMOD 1998»
15 years 8 months ago
Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopul...
SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
15 years 6 months ago
Discriminating Subsequence Discovery for Sequence Clustering
In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...
ECIR
2006
Springer
15 years 6 months ago
Phrase Clustering Without Document Context
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan