259 citations · 275 across the 5 of their papers we have counts for
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One-Class Classification by Ensembles of Regression models -- a detailed study
Amir Ahmad, Srikanth Bezawada
One-class classification (OCC) deals with the classification problem in which the training data has data points belonging only to target class. In this paper, we study a one-class…
initKmix -- A Novel Initial Partition Generation Algorithm for Clustering Mixed Data using k-means-based Clustering
Amir Ahmad, Shehroz S. Khan
Mixed datasets consist of both numeric and categorical attributes. Various k-means-based clustering algorithms have been developed for these datasets. Generally, these algorithms u…
Survey of state-of-the-art mixed data clustering algorithms
Amir Ahmad, Shehroz S. Khan
Mixed data comprises both numeric and categorical features, and mixed datasets occur frequently in many domains, such as health, finance, and marketing. Clustering is often applied…
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data
Shehroz S. Khan, Amir Ahmad, Alex Mihailidis
Presence of missing values in a dataset can adversely affect the performance of a classifier. Single and Multiple Imputation are normally performed to fill in the missing values. I…
Relationship between Variants of One-Class Nearest Neighbours and Creating their Accurate Ensembles
Shehroz S. Khan, Amir Ahmad
In one-class classification problems, only the data for the target class is available, whereas the data for the non-target class may be completely absent. In this paper, we study o…