%0 Conference Paper %1 Biosignals2008 %A Lourenco, Andre %A Fred, Ana %B Biosignals %C Funchal, Portugal %D 2008 %K Behavior_Identification Clustering Co-association_Matrix ECG_Analysis EvidenceAccumulationClustering Unsupervised_Learning Visualization %T Unveiling Intrinsic Similarity: application to temporal analysis of ECG %X The representation of data in some visual form is one of the first steps in a data-mining process in order to gain some insight about its structure. We propose to explore well known visualization and unsupervised learning techniques, namely clustering, to improve the understanding about the data and to enhance possible relations or intrinsic similarity between patterns. Specifically, Clustering Ensemble Methods are exploited separately and combined to provide a clearer visualization of data organization. The presented methodology is used to improve the understanding of ECG signal acquired during Human Computer Interaction (HCI).

@inproceedings{Biosignals2008, abstract = {The representation of data in some visual form is one of the first steps in a data-mining process in order to gain some insight about its structure. We propose to explore well known visualization and unsupervised learning techniques, namely clustering, to improve the understanding about the data and to enhance possible relations or intrinsic similarity between patterns. Specifically, Clustering Ensemble Methods are exploited separately and combined to provide a clearer visualization of data organization. The presented methodology is used to improve the understanding of ECG signal acquired during Human Computer Interaction (HCI).}, added-at = {2009-10-25T21:29:52.000+0100}, address = {Funchal, Portugal}, author = {Lourenco, Andre and Fred, Ana}, biburl = {https://www.bibsonomy.org/bibtex/23df1df39b3cc984930b98fced47d5360/alourenco}, booktitle = {Biosignals}, interhash = {3a9159b831db2a1ebcf9a7b48d8c1a12}, intrahash = {3df1df39b3cc984930b98fced47d5360}, keywords = {Behavior_Identification Clustering Co-association_Matrix ECG_Analysis EvidenceAccumulationClustering Unsupervised_Learning Visualization}, month = {January}, timestamp = {2009-10-25T21:29:52.000+0100}, title = {Unveiling Intrinsic Similarity: application to temporal analysis of ECG}, year = 2008 }