Implementation of Agglomerative Hierarchical Clustering Based on The Classification of Food Ingredients Content of Nutritional Substances

Abstract

Health is something very precious. Maintaining health can be done in many ways, one of them by keeping your diet. The correct diet will keep your immune system so that it can avoid various diseases. The proper diet will also put the body in a balanced nutrition state, which all need to be nourished. Nutrient requirements include calories, protein, fat, carbohydrates, calcium, phosphorus, iron, vitamin A, vitamin B, and vitamin C with a mass of 100 grams each. To facilitate the search for nutrients needed, then build a system that can categorize food based on its nutritional status and calculate the average value of nutrients in agglomerative hierarchical clustering using average linkage. Calculation of intermediate linkage methods produces data that has some similarities to the data sought nutrients that can be seen from its index, so precise data are in each group.

Analisa Pemerataan Imunisasi Campak Pada Anak Sekolah Di Jakarta Dengan Algoritma Clusteing Hierarki Dan Klasifikasi Standar

“…Hasil umum dari hierarchical clustering Pada gambar contoh di atas, jarak antara kedua cluster yang telah terhitung berdasarkan panjang garis lurus yang ditarik dari satu cluster ke cluster lainnya. Ini biasanya disebut sebagai jarak Euclidean [11]. Banyak metrik jarak lainnya telah dikembangkan.…”

Resource Allocation of Distributed System Based on Hierarchical Clustering Algorithm

“…The min-max normalization method needs to select data n u max and data n u min in the n -th feature of the original data x u [11]. The specific formula is as follows:…”

“…In the experiment, the CloudSim library function is used to randomly generate a data set, and the number of tasks   400 , 300 , 200 , 100  k is set to take the average results of 200 task processing times for comparison [12]. In the experiment, the specific experimental configuration of the resource allocation of the distributed system using the hierarchical clustering algorithm is as follows:…”

“…Z-score normalization Z-score normalization Before the standard deviation normalization of all the original data xn u , the mean n  and standard deviation  xn uof the original data of all the resources must be obtained[11]. The specific normalization formula is as follows:…”