# Majority Voting Based Multi-Task Clustering of Air Quality Monitoring Network in Turkey
## 2 Related Work
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Ref.** & **Year** & **Subject Area** & **Aim** & **Algorithms/Methods** & **Performance Metrics** \\ \hline \multirow{4}{*}{[18]} & \multirow{4}{*}{2018} & \multirow{4}{*}{Bioinformatics} & \multicolumn{3}{c}{Generate a model that utilizes multiple single-cell populations from biological} & \multirow{2}{*}{scVDMC, KM, Pooled} & ARI, Cluster Error (measured on the best \\  & & & replicates or different samples to address & KM, SNN-Cliq, CellTree, & one-to-one matching \\  & & & the cross-population clustering problem of & [PERSON], SC3 & & \\  & & & scRNA-seq data & & \\ \hline \multirow{4}{*}{[19]} & \multirow{4}{*}{2017} & \multirow{4}{*}{2017} & \multirow{4}{*}{2017} & Propose a general multi-task clustering algorithm by transferring knowledge of instances through reweighting the distance between samples in different tasks by learning a shared subspace and selecting the nearest neighbors for each sample from the other tasks & MTCTKI, Nout-SKN, Nout-SKN, LSSIMTC, DMTFC, SMT-NMF, MTCTKI0} & Clustering Accuracy, NMI \\  & & & & the nearest neighbors for each sample from the other tasks & SMT-NMF, MTCTKI0 & \\ \hline \multirow{4}{*}{[20]} & \multirow{4}{*}{2016} & \multirow{4}{*}{Bioinformatics} & \multirow{4}{*}{Identifity common and context-specific aspects of genome architecture} & Arboreum-Hi-C, KM, HC, SC & DRL, SD, Number of enriched clusters, log \(P\) value of ANOVA \\ \hline \multirow{4}{*}{[21]} & \multirow{4}{*}{2016} & \multirow{4}{*}{2016} & \multirow{4}{*}{2016} & Develop a co-clustering based multi-task multi-view clustering framework which integrates within-view-task clustering & KM, KM, NNC, BiCo, SNMTC, CoRoC, SNMTC, CoRoC, LSSIMTC, DMTFC, SMTMC, SMTMCVC & Clustering Accuracy, NMI \\  & & & & multi-view relationship learning and multi-task relationship learning & BMMTVC, SMTMVC & \\ \hline \multirow{4}{*}{[49]} & \multirow{4}{*}{2016} & \multirow{4}{*}{Bioinformatics} & \multirow{4}{*}{Automated HEp-2 Cells Classification} & CMTL and the other 28 methods presented in the HEp-2 Cells & \multirow{4}{*}{Accuracy} \\  & & & & the HEp-2 Cells & \\  & & & & Classification contest & \\  & & & & held at the 2012 & \\  & & & & International Conference & \\ \hline \multirow{4}{*}{[22]} & \multirow{4}{*}{2015} & \multirow{4}{*}{Activity Recognition} & \multirow{4}{*}{Daily living analysis from visual data gathered from wearable cameras} & EMD-MTC with linear & \multirow{4}{*}{\
\begin{tabular}{} \end{tabular} } \\  & & & & and rd kernel denoted & \\  & & & as CEMDMTC and & & \\  & & & & KEMD-MTC, & \\  & & & & respectively; KM, KM, KMM, & Clustering Accuracy, NMI \\  & & & & CNMF and SemiEMMC, & SemiEMD-MTC, & \\  & & & & KsemEMD-MTC and & \\  & & & & the LSMTC method & \\ \hline \multirow{4}{*}{[23]} & \multirow{4}{*}{2013} & \multirow{4}{*}{2013} & \multirow{4}{*}{Document Clustering} & Identifying and avoiding negative effects of the boosting process of MBC and also dealing with nonlinear separable data in the clustering of documents & \multirow{4}{*}{
\begin{tabular}{} \end{tabular} } \\  & & & & the clustering process of MBC and also & \\ \cline{1-1} \cline{5-5}  & & & & dealing with nonlinear separable data in the clustering of documents & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Summary of the data mining studies taking “Multi-Task Clustering” as the main subject. Second, some proposed MTC methods (e.g., scVDMC [18] and Arboretum-Hi-C [20]) were designed as field-specific methods and have a valid use only for bioinformatics data to analyze the genome architecture or to simultaneously capture the differentially expressed genes. These methods are not suitable for the analysis of geographical data (or for the identification of air pollution levels of a region). Third, our algorithm is particularly advantageous since it does not need any a priori information about the data. However, [PERSON] et al. [22] proposed a novel algorithm, named Convex Multi-task Clustering (CMTC), which requires some a-priori knowledge about the data relationship.