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Browsing University of Hertfordshire by Author "Mirkin, Boris"
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A-Wardpβ : Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation
Cordeiro De Amorim, Renato; Makarenkov, Vladimir; Mirkin, Boris (2016-11-20)In this paper we make two novel contributions to hierarchical clustering. First, we introduce an anomalous pattern initialisation method for hierarchical clustering algorithms, called A-Ward, capable of substantially ... -
Anomalous pattern based clustering of mental tasks with subject independent learning : some preliminary results
Cordeiro De Amorim, Renato; Mirkin, Boris; Q. Gan, John (2012-09-01)In this paper we describe a new method for EEG signal classification in which the classification of one subject’s EEG signals is based on features learnt from another subject. This method applies to the power spectrum ... -
A clustering based approach to reduce feature redundancy
Cordeiro De Amorim, Renato; Mirkin, Boris (Springer Nature, 2016-02-26)Research effort has recently focused on designing feature weighting clustering algorithms. These algorithms automatically calculate the weight of each feature, representing their degree of relevance, in a data set. However, ... -
A method for classifying mental tasks in the space of EEG transforms
Cordeiro De Amorim, Renato; Mirkin, Boris; Q. Gan, John (2009)In this article we describe a new method for supervised classification of EEG signals. This method applies to the power spectrum density data and assigns class-dependent information weights to individual pixels, so that ... -
The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning
Cordeiro De Amorim, Renato; Shestkov, Andrei; Mirkin, Boris; Makarenkov, Vladimir (2017-07-31)The Minkowski weighted K-means (MWK-means) is a recently developed clustering algorithm capable of computing feature weights. The cluster-specific weights in MWK-means follow the intuitive idea that a feature with low ... -
Minkowski Metric for Feature Weighting
Cordeiro De Amorim, Renato; Mirkin, Boris (2011-07) -
Minkowski Metric, Feature Weighting and Anomalous Cluster Initialisation in K-Means Clustering
Cordeiro De Amorim, Renato; Mirkin, Boris (2012-03)This paper represents another step in overcoming a drawback of K-Means, its lack of defense against noisy features, using feature weights in the criterion. The Weighted K-Means method by Huang et al. (2008, 2004, 2005) ... -
Removing redundant features via clustering : preliminary results in mental task separation
Cordeiro De Amorim, Renato; Mirkin, Boris (Progress & Business Publishers, 2013)Recent clustering algorithms have been designed to take into account the degree of relevance of each feature, by automatically calculating their weights. However, as the tendency is to evaluate each feature at a time, these ... -
Selecting the Minkowski Exponent for Intelligent K-Means with Feature Weighting
Cordeiro De Amorim, Renato; Mirkin, Boris (Springer Nature, 2014-05)Recently, a three-stage version of K-Means has been introduced, at which not only clusters and their centers, but also feature weights are adjusted to minimize the summary p-th power of the Minkowski p-distance between ...