SATO-ILIC Mika
- Articles
- Identification of Cancer Type using Support-Vector Machine based on Fuzzy Clustering
加藤 優友; イリチユ 美佳
38th Fuzzy System Symposium/pp.431-434, 2022-09 - Fuzzy Cluster-Scaled Principal Component Analysis for High-Dimension Low-Sample Data
Sato-Ilic Mika
The 24th International Conference on Computational Statistics, 2022-08-23 - Clustering and Multidimensional Scaling for Individual Difference Extraction
Sato-Ilic Mika
The 4th International Conference on Statistics: Theory and Applications/pp.162-1-162-8, 2022-07 - Deep learning method considering computational efficiency by multidimensional scaling
高村 昇二郎; イリチユ 美佳
Proceedings of 41st Japanese Classification Society Annual Research Meeting/pp.54-57, 2022-06 - Autocoding based Multi-Class Support Vector Machine by Fuzzy c-Means
Yukako Toko; Sato-Ilic Mika
Romanian Statistical Review/1/pp.27-39, 2022-03 - Weighted Regression Analysis for Interval-Valued Compositional Data
藤本 聖; イリチユ 美佳
Proceedings of Japanese Classification Society Symposium 2021/pp.19, 1-19, 4, 2021-12 - Discrimination of the Labeled High-Dimension Low-Sample Data for Healthcare
Sato-Ilic Mika
Proceedings of International Conference on FIM-IMIP-UMSO/pp.61-62, 2021/12 - Cluster-scaled principal component analysis
Sato-Ilic Mika
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS/Epub/pp.1-13, 2021-10 - Principal Component Analysis for Fuzzy Interval-Valued Data
益居 秀; イリチユ 美佳
Proceedings of the 37th Fuzzy System Symposium/pp.393-398, 2021-09 - Hybrid autocoding method for the Family Income and Expenditure Survey
床 裕佳子; イリチユ 美佳
Proceedings of the 40th Japanese Classification Society Annual Research Meeting/pp.08, 1-08, 4, 2021-07 - A Hybrid Method of Multi-class SVM and Classification Method Based on Reliability Score for Autocoding of the Family Income and Expenditure Survey
Toko Yukako; Sato-Ilic Mika
Intelligent Decision Technologies, Smart Innovation, Systems and Technologies/pp.403-413, 2021-06 - Individual Difference Assessment Method Based on Cluster Scale Using a Data Reduction Method
Nitta Kazuki; Sato-Ilic Mika
Intelligent Decision Technologies, Smart Innovation, Systems and Technologies/238/pp.415-426, 2021-06 - A Classification Method Based on Ensemble Learning of Deep Learning and Multidimensional Scaling
Miyazawa Kazuya; Sato-Ilic Mika
Intelligent Decision Technologies, Smart Innovation, Systems and Technologies/238/pp.379-390, 2021-06 - Indicator for Individuality of Subjects Based on Similarity of Objects
Sato-Ilic Mika
Procedia Computer Science/185/pp.193-202, 2021-06 - Efficient Autocoding Method in High Dimensional Space
Toko Yukako; Sato-Ilic Mika
Romanian Statistical Review/1/pp.3-16, 2021-03 - A Constrained Cluster Analysis with Homogeneity of External Criterion
Takahashi Masao; Asakawa Tomoo; Sato-Ilic Mika
Intelligent Decision Technologies/193/pp.303-313, 2020-06 - Improvement of the Training Dataset for Supervised Multiclass Classification
Toko Yukako; Sato-Ilic Mika
Intelligent Decision Technologies/193/pp.291-302, 2020-06 - Probabilistic Metric Based Multidimensional Scaling
Sato-Ilic Mika
Procedia Computer Science/168/pp.65-72, 2020-01 - Evaluation of Fuzzy Clustering for High-Dimensional Data based on Principal Component Analysis
村山喬則; イリチユ 美佳
35th Fuzzy System Symposium/35/pp.203-208, 2019-08 - Fuzzy Clustering and Fuzzy Clustering Models
佐藤美佳（イリチユ 美佳）
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics/31(3)/pp.75-81, 2019-06 - Quantification and Visualization for Difference of Fuzzy Clustering Results
Sato-Ilic Mika
The 2019 IEEE International Conference on Fuzzy Systems,2019, 2019-06 - Generalization for Improvement of the Reliability Score for Autocoding
Toko Yukako; Iijima Shinya; Sato-Ilic Mika
ROMANIAN STATISTICAL REVIEW/(3)/pp.47-59, 2019 - Homogeneous Cluster Analysis
Sato-Ilic Mika
Procedia Computer Sciences/140/pp.269-275, 2018-11 - Multilayer Clustering based on T-norms for High-Dimension Low-Sample Size Data
伊藤佳輝; 元田卓; イリチユ 美佳
第34回ファジィシステムシンポジウム講演論文集/pp.480-485, 2018-09 - Estimation of Business Demography Statistics: A Method for Analyzing Job Creation and Destruction
Takahashi Masao; Sato-Ilic Mika; Okamoto Motoi
Intelligent Decision Technologies 2018/97/pp.33-43, 2018-06 - more...
- Identification of Cancer Type using Support-Vector Machine based on Fuzzy Clustering