ABSTRACT
This study analyzed whether the elbow method and K-means clustering can help investors diversify their investment in different companies. Using clustering in machine learning and big data, a method was generated to categorize a list of companies with similar performances based on their fundamental analysis. Companies’ fundamental analysis variables were used to classify stock data using K-means clustering application. In the end, companies with similar stock performances will be grouped, and it will be easier for investors to diversify their investments.
