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» An Experiment with Distance Measures for Clustering
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IDA
2009
Springer
15 years 2 months ago
Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
Although k-means clustering is often applied to time series clustering, the underlying Euclidean distance measure is very restrictive in comparison to the human perception of time ...
Frank Höppner, Frank Klawonn
83
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PVLDB
2008
93views more  PVLDB 2008»
14 years 9 months ago
Querying and mining of time series data: experimental comparison of representations and distance measures
The last decade has witnessed a tremendous growths of interests in applications that deal with querying and mining of time series data. Numerous representation methods for dimensi...
Hui Ding, Goce Trajcevski, Peter Scheuermann, Xiao...
VR
2009
IEEE
172views Virtual Reality» more  VR 2009»
15 years 4 months ago
Measurement Protocols for Medium-Field Distance Perception in Large-Screen Immersive Displays
How do users of virtual environments perceive virtual space? Many experiments have explored this question, but most of these have used head-mounted immersive displays. This paper ...
Eric Klein, J. Edward Swan II, Gregory S. Schmidt,...
AIPRF
2008
14 years 11 months ago
A Coherent and Heterogeneous Approach to Clustering
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...
Arian Maleki, Nima Asgharbeygi
CICLING
2008
Springer
14 years 11 months ago
Evaluation of Internal Validity Measures in Short-Text Corpora
Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind...
Diego Ingaramo, David Pinto, Paolo Rosso, Marcelo ...