- UHRA Home
- Browsing by Author
Browsing by Author "Cordeiro De Amorim, Renato"
Now showing items 21-27 of 27
-
Recovering the number of clusters in data sets with noise features using feature rescaling factors
Cordeiro De Amorim, Renato; Hennig, Christian (2015-12-10)In this paper we introduce three methods for re-scaling data sets aiming at improving the likelihood of clustering validity indexes to return the true number of spherical Gaussian clusters with additional noise features. ... -
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 ... -
A survey on feature weighting based K-Means algorithms
Cordeiro De Amorim, Renato (2016-08-25)In a real-world data set there is always the possibility, rather high in our opinion, that different features may have different degrees of relevance. Most machine learning algorithms deal with this fact by either selecting ... -
Targeted tutorials and the use of ASSIST to support student learning
Austin, Ann; Cordeiro De Amorim, Renato; Griffin, A. (2013) -
Towards effective malware clustering : reducing false negatives through feature weighting and the Lp metric
Cordeiro De Amorim, Renato; Komisarczuk, Peter (CRC Press, 2014-09)In this paper we present a novel method to reduce the incidence of false negatives in the clustering of malware detected during drive-by-download attacks. Our method comprises the use of a high-interaction client honey-pot ... -
Weighting Features for Partition around Medoids Using the Minkowski Metric
Cordeiro De Amorim, Renato; Fenner, Trevor (Springer Nature, 2012)In this paper we introduce the Minkowski weighted partition around medoids algorithm (MW-PAM). This extends the popular partition around medoids algorithm (PAM) by automatically assigning K weights to each feature in a ...