Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering-Reference-Cited by-同舟云学术

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Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering

Published:2012-09 Issue:9 Volume:45 Page:3061-3071
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Aidos Helena,Fred Ana

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. Pattern Recognition;Theodoridis,2003

2. Data Analysis Tools for DNA Microarrays;Draghici,2003

3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction;Hastie,2009

4. Algorithms for Clustering Data;Jain,1988

5. Survey of clustering algorithms;Xu;IEEE Transactions on Neural Networks,2005

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2. Unsupervised Analysis of Morphological ECG Features for Attention Detection;Studies in Computational Intelligence;2015-11-20

3. Consensus of Clusterings Based on High-Order Dissimilarities;Partitional Clustering Algorithms;2014-10-17

4. High Order Statistics in Non-Euclidean Spaces Based Image Classification;National Academy Science Letters;2014-04-11

5. Learning Similarities by Accumulating Evidence in a Probabilistic Way;Advanced Information Systems Engineering;2014

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