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CLUSTER
2011
IEEE
7 years 10 months ago
A mobility-based cluster formation algorithm for wireless mobile ad-hoc networks
  In the last decade, numerous efforts have been devoted to design efficient algorithms for clustering the  wireless mobile ad‐hoc networks (MANET) consider...
Javad Akbari Torkestani, Mohammad Reza Meybodi
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
8 years 1 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
ICASSP
2011
IEEE
8 years 1 months ago
Clustering of bootstrapped acoustic model with full covariance
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Xin Chen, Xiaodong Cui, Jian Xue, Peder Olsen, Joh...
VLSISP
2010
191views more  VLSISP 2010»
8 years 5 months ago
Sign Language Phoneme Transcription with Rule-based Hand Trajectory Segmentation
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...
W. W. Kong, Surendra Ranganath
PRL
2010
188views more  PRL 2010»
8 years 5 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
PRL
2010
158views more  PRL 2010»
8 years 8 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
SIGIR
2002
ACM
8 years 10 months ago
Document clustering with committees
Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...
Patrick Pantel, Dekang Lin
COMCOM
2007
156views more  COMCOM 2007»
8 years 10 months ago
A survey on clustering algorithms for wireless sensor networks
The past few years have witnessed increased interest in the potential use of wireless sensor networks (WSNs) in applications such as disaster management, combat field reconnaissa...
Ameer Ahmed Abbasi, Mohamed F. Younis
COLING
2002
8 years 10 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
JSS
2007
121views more  JSS 2007»
8 years 10 months ago
Opportunistic prioritised clustering framework for improving OODBMS performance
In object oriented database management systems, clustering has proven to be one of the most effective performance enhancement techniques. Existing clustering algorithms are mainly...
Zhen He, Richard Lai, Alonso Marquez, Stephen Blac...
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