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» Comparisons Between Data Clustering Algorithms
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ICPR
2008
IEEE
14 years 2 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
EWSN
2004
Springer
14 years 7 months ago
ACE: An Emergent Algorithm for Highly Uniform Cluster Formation
The efficient subdivision of a sensor network into uniform, mostly non-overlapping clusters of physically close nodes is an important building block in the design of efficient uppe...
Haowen Chan, Adrian Perrig
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
14 years 19 days ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
ICPR
2002
IEEE
14 years 8 months ago
Fast Hierarchical Clustering Based on Compressed Data
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Erendira Rendon, Ricardo Barandela
IV
2005
IEEE
130views Visualization» more  IV 2005»
14 years 1 months ago
A Comparison of Visual and Haptic Object Representations Based on Similarity
Do we judge similarity between two objects to be the same using touch and vision? We investigated this using psychophysical experiments in which subjects rated the similarity betw...
Theresa Cooke, Christian Wallraven, Heinrich H. B&...