<prompt> Hlahisa ketso e le ngoe ho ntlafatsa tsebetso ea algorithm e fanoeng.k-E Bolela ho Kopanya  <response>: Instruction in English: Suggest one action to improve the performance of a given algorithm. . Response in English: One way to improve the performance of the k-Means clustering algorithm is by selecting better initial centroids, as a poor choice of initial centroids may result in slow convergence and suboptimal clustering results. One method you could use is the k-means initialization technique, which is an algorithm for choosing the initial values for the k-means clustering algorithm. This method is more likely to find a solution that is closer to the global optimum, and has been shown to improve the speed and accuracy of the clustering process. . Response in Sesotho: Tsela e ngoe ea ho ntlafatsa tsebetso ea k-Means clustering algorithm ke ka ho khetha li-centroids tsa pele tse betere, kaha khetho e fosahetseng ea li-centroids tsa pele e ka baka khokahanyo butle le liphetho tse tlase tsa lihlopha. Mokhoa o mong oo u ka o sebelisang ke mokhoa oa ho qala oa k-means, e leng algorithm ea ho khetha litekanyetso tsa pele tsa k-means clustering algorithm. Mokhoa ona o na le monyetla oa ho fumana tharollo e haufi le lefatse ka bophara, me e bontšitsoe ho ntlafatsa lebelo le ho nepahala ha tsebetso ea lihlopha. 