A Proposal for Comparison of Impression Evaluation Data Among Individuals by Using Clustering Method Based on Distributed Structure of Data

2006 ◽  
pp. 891-898
Author(s):  
Shou Kuroda ◽  
Tomohiro Yoshikawa ◽  
Takeshi Furuhashi
Keyword(s):  
Clustering Method ◽  
Evaluation Data ◽  
Distributed Structure

A Proposal for Analysis of SD Evaluation Data by Using Clustering Method Focused on Data Distribution

2007 ◽  
pp. 317-320 ◽  
Author(s):  
Shou Kuroda ◽  
Kosuke Yamamoto ◽  
Tomohiro Yoshikawa ◽  
Takeshi Furuhashi
Keyword(s):  
Data Distribution ◽  
Clustering Method ◽  
Evaluation Data

Joint Fire Science Program Fire Exchange Network evaluation data: 2011-2018

2020 ◽  
Author(s):  
William P. Evans ◽  
Loretta Singletary ◽  
Lorie L. Sicafuse ◽  
Lisa D. Maletsky ◽  
Christopher J. Copp ◽  
...  
Keyword(s):  
Science Program ◽  
Evaluation Data ◽  
Fire Science ◽  
Network Evaluation ◽  
Exchange Network

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

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