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Abstract. There are many technology researches being conducted based on integration with the artificial intelligence technologies in the 6 th Industry, a recent topic of ICT convergence technology in the agriculture and life industry. Of the artificial intelligence technologies, machine learning, in particular, requires Big Data analysis techniques in the agriculture and life industry with various types of data and uses many different methodologies. This study set out to propose a Big Data-based integrated system to manage and analyze a mushroom growth environment for the efficient management of mushroom plantation.

Abstract.This study set out to analyze and compare data of high density within the categories of various Big Data by applying altered K-means and DBSCAN algorithms. The study would propose an algorithm to extract K, the optimal number of clusters, through principal component analysis to supplement the Kmeans algorithm for its difficulty with the analysis of concentrated data compared with the DBSCAN algorithm and an algorithm to extract an initial center point according to the standard normal distribution to choose an initial cluster center point.