# A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications
## 3 Variants of the HSA
\begin{table}
\begin{tabular}{l l l l l l} \hline
**Proposed** & **Application** & **Description** & & **Results and Conclusion** & **Year** & **Authors(Web)** \\ \hline HSA & Data clustering & A new method is proposed for clustering application and feature selection together using an improved HSA & The obtained methods showed that the proposed HSA as a robust clustering technique, and it got better results in terms of precision compared to similar algorithms. & 2010 & [PERSON] et al. (1988) \\ \hline ICBRKK & Test-clustering & A new description algorithm, called IGBRKS, is proposed for solving the web document clustering using the kernel-like3178 and IMOG datasets. The obtained results with the proposed algorithm got promising results in terms of precision compared with other similar methods. & 2011 & [PERSON] et al. (1988) \\ \hline HSA & Data clustering & A new hybrid optimization algorithm is proposed based on using the HSA to solve the data clustering problems & Standard datasets were used to evaluate the proposed method. The obtained results reported that the proposed HSA is HSIs minimizes the challenge of determining the initial cluster centroids. & 2011 & [PERSON] and [PERSON] in (2011) \\ \hline HSA & Data clustering & A new hybrid method is proposed based on using the obtained results showed that the proposed HSA is a robust clustering technique, and a right picture results in terms of precision compared to other similar algorithms. & 2012 & [PERSON] et al. (2012) \\ \hline HSA & Data clustering & The influence of adjusting parameters such as IHCR & The obtained results showed that the proposed algorithm and IPR (Table, adapting) is studied, and a method for generating the proposed algorithm, recall, feature-to-features. & 2012 & [PERSON] et al. (2012) \\ \hline HSA & Data clustering & A new clustering method is proposed based on using the proposed hybrid algorithm got better results & 2012 & [PERSON] et al. (2012) \\ \hline HSA with features of K-means and AIC & Compared with other similar methods such as IFS, PSO & (Particle Swarm Optimization), and Kmeans in regards to precision and convergence velocity. & 2013 & [PERSON] et al. (2014) \\ \hline HSA & Data clustering & An automatic clustering method is proposed based on the proposed algorithm was tested on well-known using the basic HSA & 2014 & [PERSON] et al. (2014) \\ \hline HSA-K & Data clustering & A hybrid clustering method is introduced based on using the kernel frequency and Inverse Document Frequency & Comparisons were conducted among all of these and other methods, and the obtained results proved that the proposed concept factorization produces better results. & 2014 & [PERSON] and [PERSON] (2015) \\ \hline HSA & Data clustering & Informalized a new modified version of the HSA to solve the clustering problems & The obtained results were promising and confirmed that the proposed clustering method is proposed to prescribe, recall, inter-cluster, Gremesma, and intra-cluster distances. & 2014 & [PERSON] et al. (2014) \\ \hline HSA & Data clustering & A novel hybrid clustering algorithm is introduced based on the parameter of the HSA & The obtained results reported that the proposed method produced better results in regards to the weighted average, precision, recall, C\({}_{\text{Measur}}\), and \({}_{\text{Measur}}\). & 2015 & [PERSON] et al. (2015) \\ \hline HS-GA & Clustering & A hybrid algorithm is proposed based on HSA and the global results showed the superior performance of the proposed HS-GA method. & The obtained results showed the superior performance of the proposed HS-GA method. & 2016 & [PERSON] et al. (2018) \\ \hline HSA & Workless Sensor Networks (VSNs) & Two methods, HSA and K-means, are proven to produce satisfactory results separately when used for the clustering method & The proposed method got better results compared to the proposed HS-GA method. & 2016 & [PERSON] et al. (2019) \\ \hline \end{tabular}
\end{table} 
Table 1: Variants of the HSA