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Search: "[ keyword: Clustering ]" (132)
Outlier Detection By Clustering-Based Ensemble Model Construction
Cheong Hee Park, Taegong Kim, Jiil Kim, Semok Choi, Gyeong-Hoon Lee KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 11, pp. 435-442,
Nov.
2018
10.3745/KTSDE.2018.7.11.435
Keywords: Streaming Data, Ensemble Method, Outlier Detection, K-Means Clustering
10.3745/KTSDE.2018.7.11.435
Keywords: Streaming Data, Ensemble Method, Outlier Detection, K-Means Clustering
Parallel k-Modes Algorithm for Spark Framework
Jaehwa Chung KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 10, pp. 487-492,
Oct.
2017
10.3745/KTSDE.2017.6.10.487
Keywords: k-Modes, Categorical Data, Clustering, Spark
10.3745/KTSDE.2017.6.10.487
Keywords: k-Modes, Categorical Data, Clustering, Spark
Backlight Compensation by Using a Novel Region of Interest Extraction Method
Joon Mo Seong, Seong Shin Lee, Songwook Lee KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 6, pp. 321-328,
Jun.
2017
10.3745/KTSDE.2017.6.6.321
Keywords: region of interest, Backlight Compensation, Magnetic Lasso, Texture Extraction, k-Means Clustering
10.3745/KTSDE.2017.6.6.321
Keywords: region of interest, Backlight Compensation, Magnetic Lasso, Texture Extraction, k-Means Clustering
Improved CS-RANSAC Algorithm Using K-Means Clustering
Seunghyun Ko, Ui-Nyoung Yoon, Jumabek Alikhanov, Geun-Sik Jo KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 6, pp. 315-320,
Jun.
2017
10.3745/KTSDE.2017.6.6.315
Keywords: CS_RANSAC
10.3745/KTSDE.2017.6.6.315
Keywords: CS_RANSAC
A Method for Group Mobility Model Construction and Model Representation from Positioning Data Set Using GPGPU
Song Ha Yoon, Kim Dong Yup KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 3, pp. 141-148,
Mar.
2017
10.3745/KTSDE.2017.6.3.141
Keywords: Group Mobility Model, Clustering, Parallel Computing
10.3745/KTSDE.2017.6.3.141
Keywords: Group Mobility Model, Clustering, Parallel Computing
A Personalized Dietary Coaching Method Using Food Clustering Analysis
Yoori Oh, Jieun Choi, Yoonhee Kim KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 6, pp. 289-294,
Jun.
2016
10.3745/KTSDE.2016.5.6.289
Keywords: Dietary Coaching Method, Personalized, Clustering Analysis
10.3745/KTSDE.2016.5.6.289
Keywords: Dietary Coaching Method, Personalized, Clustering Analysis
A Fast Way for Alignment Marker Detection and Position Calibration
Chang Bae Moon , Hyun Soo Kim , Hyun Yong Kim , Dong Won Lee , Tae Hoon Kim , Hae Chung , Byeong Man Kim KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 1, pp. 35-42,
Jan.
2016
10.3745/KTSDE.2016.5.1.35
10.3745/KTSDE.2016.5.1.35
A Hashing Method Using PCA-based Clustering
Cheong Hee Park KIPS Transactions on Software and Data Engineering,
Vol. 3, No. 6, pp. 215-218,
Jun.
2014
10.3745/KTSDE.2014.3.6.215
10.3745/KTSDE.2014.3.6.215
Question and Answering System through Search Result Summarization of Q&A Documents
Hyun Ah Lee , Dong Hyun Yoo KIPS Transactions on Software and Data Engineering,
Vol. 3, No. 4, pp. 149-154,
Apr.
2014
10.3745/KTSDE.2014.3.4.149
10.3745/KTSDE.2014.3.4.149
Unsupervised Learning Model for Fault Prediction Using Representative Clustering Algorithms
Euy Seok Hong , Mi Kyeong Park KIPS Transactions on Software and Data Engineering,
Vol. 3, No. 2, pp. 57-64,
Feb.
2014
10.3745/KTSDE.2014.3.2.57
10.3745/KTSDE.2014.3.2.57