## 5 Results and Discussion
\begin{table}
\begin{tabular}{l l l l l l l l l l} \hline \hline \multirow{2}{*}{**Embed.**} & \multirow{2}{*}{**Algorithm**} & \multicolumn{6}{c}{\(F_{1}\) Score (Weighted) for Different Variants} & \multirow{2}{*}{**Runtime (s)**} \\ \cline{3-9}  & & **Alpha** & **Beta** & **Delta** & **Gamma** & **Epsilon** & **Mean** & **S.D.** \\ \hline \multirow{9}{*}{OHE} & \(k\)-means & 0.36 & 0.05 & 0.70 & 0.46 & 0.68 & 0.45 & 0.27 & 553.95 \\  & \(k\)-means + Boruta & 0.62 & 0.05 & 0.84 & 0.98 & 0.69 & 0.64 & 0.36 & 20.01 \\  & \(k\)-means + LASSO & 0.50 & 0.05 & 0.70 & 0.69 & 0.68 & 0.52 & 0.28 & 61.78 \\  & \(k\)-means + RFF & 0.98 & 0.0 & 0.29 & 0.99 & 0.99 & 0.65 & 0.47 & 28.02 \\ \cline{2-9}  & \(k\)-modes & 0.98 & 0.01 & 0.99 & 0.98 & 0.90 & 0.77 & 0.43 & 198,926.91 \\  & \(k\)-modes + Boruta & 0.99 & 0.01 & 0.80 & 0.98 & 0.77 & 0.71 & 0.40 & 6646.35 \\  & \(k\)-modes + LASSO & 0.98 & 0.05 & 0.56 & 0.98 & 0.75 & 0.66 & 0.39 & 36,435.04 \\  & \(k\)-modes + RFF & 0.99 & 0.0 & 0.23 & 0.99 & 0.99 & 0.64 & 0.49 & 1370.85 \\ \cline{2-9}  & Fuzzy & 0.96 & 0.01 & 0.68 & 0.98 & 0.80 & 0.69 & 0.40 & 29,193.81 \\  & Fuzzy + Boruta & 0.60 & 0.26 & 0.61 & 0.98 & 0.68 & 0.63 & 0.26 & 664.19 \\  & Fuzzy + LASSO & 0.96 & 0.01 & 0.74 & 0.98 & 0.80 & 0.70 & 0.40 & 3958.60 \\  & Fuzzy + RFF & 0.44 & 0.0 & 0.0 & **1.00** & **1.00** & 0.49 & 0.50 & 395.95 \\ \hline Hierarchical & 0.55 & 0.04 & 0.69 & 0.70 & 0.68 & 0.53 & 0.28 & 106,092.34 \\ Hierarchical + Boruta & 0.59 & 0.25 & 0.60 & 0.99 & 0.67 & 0.62 & 0.26 & 2761.91 \\ Hierarchical + LASSO & 0.55 & 0.04 & 0.19 & 0.70 & 0.56 & 0.41 & 0.28 & 8650.66 \\ Hierarchical + RFF & 0.98 & 0.00 & 0.29 & 0.98 & 0.98 & 0.65 & 0.47 & 2542.87 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Variant-wise \(F_{1}\) (weighted) score with mean, standard deviation (S.D. ), and runtime for different clustering methods with number of clusters \(=5\). Best values are shown in bold. \begin{table}
\begin{tabular}{c l c c c c c c c c} \hline \hline \multirow{2}{*}{**Embed.**} & \multirow{2}{*}{**Algorithm**} & \multicolumn{6}{c}{**\(F_{1}\) Score (Weighted) for Different Variants**} & \multirow{2}{*}{**Runtime (s)**} \\ \cline{3-3} \cline{5-10}  & & **Alpha** & **Beta** & **Delta** & **Gamma** & **Epsilon** & **Mean** & **S.D.** & \\ \hline \multirow{6}{*}{\(k\)-mers} & \(k\)-means & 0.4 & 0.15 & 0.61 & 0.69 & 0.44 & 0.45 & 0.21 & 66.43 \\  & \(k\)-means + Boruta & 0.42 & 0.10 & 0.61 & 0.69 & 0.65 & 0.50 & 0.24 & 15.77 \\  & \(k\)-means + LASSO & 0.99 & 0.007 & 0.84 & 0.99 & 0.77 & 0.72 & 0.41 & 9.56 \\  & \(k\)-means + RFF & **1.00** & 0.0 & 0.28 & **1.00** & **1.00** & 0.66 & 0.48 & **8.65** \\ \cline{2-10}  & \(k\)-modes & 0.99 & 0.005 & 0.87 & 0.99 & 0.77 & 0.73 & 0.42 & 17,580.25 \\  & \(k\)-modes + Boruta & 0.99 & 0.31 & 0.86 & 0.99 & 0.85 & **0.81** & 0.28 & 2965.03 \\  & \(k\)-modes + LASSO & 0.99 & 0.17 & **0.99** & 0.99 & 0.07 & 0.63 & 0.47 & 784.20 \\  & \(k\)-modes + RFF & **1.00** & 0.00 & 0.0 & 0.61 & **1.00** & 0.52 & 0.50 & 794.56 \\ \cline{2-10}  & Fuzzy & 0.35 & 0.10 & 0.61 & 0.69 & 0.44 & 0.44 & 0.23 & 2358.84 \\  & Fuzzy + Boruta & 0.36 & 0.15 & 0.61 & 0.69 & 0.44 & 0.45 & **0.21** & 230.17 \\  & Fuzzy + LASSO & 0.99 & 0.31 & 0.65 & 0.99 & 0.82 & 0.76 & 0.29 & 94.36 \\  & Fuzzy + RFF & 0.44 & 0.0 & 0.0 & **1.00** & 0.0 & 0.29 & 0.44 & 460.82 \\ \cline{2-10}  & Hierarchical & 0.32 & 0.10 & 0.58 & 0.70 & 0.46 & 0.43 & 0.23 & 9934.57 \\  & Hierarchical + Boruta & 0.36 & 0.14 & 0.63 & 0.68 & 0.46 & 0.45 & 0.22 & 1908.75 \\  & Hierarchical + LASSO & 0.99 & **0.58** & 0.58 & 0.99 & 0.83 & 0.80 & 0.21 & 713.07 \\  & Hierarchical + RFF & **1.00** & 0.00 & 0.28 & **1.00** & **1.00** & 0.66 & 0.48 & 1120.14 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: _Cont._