Publikasi/Talk

Paper

English or Japanese

Y. Agusta and D. L. Dowe (2003b), Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models using MML (in English), In T. D. Gedeon and L. C. Fung (eds), Lecture Notes in Artificial Intelligence Vol. 2903, Springer-Verlag, Berlin, Germany, ISSN: 0302-9743, pp 477-489.

Y. Agusta and D. L. Dowe (2003a), Unsupervised Learning of Gamma Mixture Models using Minimum Message Length (in English), In M. H. Hamza (eds), the Proceedings of the Third IASTED Conference on Artificial Intelligence and Applications (AIA2003), Benalmadena, Spain, Sept. 2003, ACTA Press, Calgary, Canada, ISBN: 0-88986-390-3, pp. 457-462.

Y. Agusta and D. L. Dowe (2002b), Clustering of Gaussian and t Distributions using Minimum Message Length (in English), In M. Sasikumar, H. J. Jayprasad, and M. Kavitha (eds), the Proceedings of the International Conference on Knowledge Based Computer Systems (KBCS2002), Mumbai, India, Dec. 2002, Vikas Publishing House Pvt. Ltd., New Delhi, India, ISBN:81-259-1428-5, pp 289-299.

Y. Agusta and D. L. Dowe (2002a), MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions (in English), In B. McKay and J. Slaney (eds), Lecture Notes in Artificial Intelligence Vol. 2557, Springer-Verlag, Berlin, Germany, ISSN: 0302-9743, pp 143-154.

S. Miyamoto and Y. Agusta (1998), Algorithms for L1 and Lp Fuzzy c-Means and Their Convergence (in English), In Hayashi C., N. Ohsumi, K. Yajima, Y. Tanaka, H. H. Bock, and Y. Baba (eds), Data Science, Classification, and Related Methods. Springer-Verlag, Tokyo, pp 295-302.

Y. Agusta and S. Miyamoto (1995), Algorithms for L1 and Lp Based Fuzzy c-Means (in Japanese), The Proceedings of the 38th Automatic Control Conference, Japan, Dec. 1995, pp 387-380.

S. Miyamoto and Y. Agusta (1995), An efficient algorithm for L1 fuzzy c-means and its termination (in English), Control and Cybernetics, 24(4), pp 422-436.

S. Miyamoto and Y. Agusta (1994), Efficient Algorithms for Hard Clustering and Fuzzy Clustering using L1 Space (in Japanese), The Proceedings of the 10th Fuzzy System Symposium, Osaka, Japan, June 1994, pp 575-576.

Indonesian

Y. Agusta (2007), K-Means – Penerapan, Permasalahan dan Metode Terkait (in Indonesian), Jurnal Sistem dan Informatika, Vol. 1 (Pebruari 2007), 47-60.

Y. Agusta (2006), Pendekatan Penerapan Data Mining Untuk Data-Data Pendukung Perencanaan Pemerintahan (in Indonesian), Jurnal Sistem dan Informatika, Vol. 2 (Agustus 2006), 1-13.

Y. Agusta (2006), Kajian Terhadap MML-Like Criterion Diusulkan Oleh Figueiredo dan Jain (in Indonesian), Jurnal Sistem dan Informatika, Vol. 1 (Pebruari 2006), 1-15.

Y. Agusta (2005), Mixture Modelling Menggunakan Prinsip Minimum Message Length (in Indonesian), Jurnal Sistem dan Informatika, Vol. 1 (Agustus 2005), 1-16.

Theses

Minimum Message Length Mixture Modelling for Uncorrelated and Correlated Continuous Data Applied to Mutual Funds Classification (in English), PhD Thesis (2004), submitted as part of the PhD degree in Computer Sciences (Information Technology) at Monash University Australia.

Research on Fuzzy c-Means Based on The L1 Space (in Japanese), Masters Thesis (1996), submitted as part of the master degree at the same institution.

Efficient Algorithms for Crisp Clustering and Fuzzy Clustering Based On The Manhattan Distance Space (in Japanese), Bachelor Thesis (1994), submitted as part of the bachelor degree in Information Science and Intelligence Systems at Tokushima University, Japan.

Invited Talk

Minimum Message Length-Based Mixture Modelling (April, 2007), Talk at Expedo Meeting, Bali, Indonesia

Data Collection and Processing Systems for Information Purposes (April, 2007), Talk at Pembekalan Petugas Humas, Bali, Indonesia.

Data Mining: Theory and Application (January, 2006), Talk at Data Mining Seminar, Bali, Indonesia.

Data Mining: Theory and Application (August, 2005), Talk at STMIK STIKOM BALI, Bali, Indonesia.

Statistics and Information Technology in Analysing Data (June, 2005), Talk at Statistics Bali Province, Bali, Indonesia

Minimum Message Length (MML) Principle and its Application to the Problem of Mixture Modelling (September, 2003), Talk at the Department of Information Systems and Computation, Technical University of Valencia, Valencia, Spain.

MML Clustering of Continuous-Valued Data using Gaussian and t Distributions (November, 2002), School Seminar at the School of Computer Science and Software Engineering, Monash University, Clayton, VIC, Australia.

Seminar Talk

Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models using MML (December 3-5, 2003), The 16th Australian Conference on Artificial Intelligence (AI2003), Perth, Australia.

Unsupervised Learning of Gamma Mixture Models using Minimum Message Length (September 2003), The Third IASTED International Conference on Artificial Intelligence and Applications (AIA2003), Benalmadena, Spain.

MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions (December 2-6, 2002), The 16th Australian Conference on Artificial Intelligence (AI2002), Canberra, Australia.

Y. Agusta and S. Miyamoto (1995), Algorithms for L1 and Lp Based Fuzzy c-Means (December 1995), The 38th Automatic Control Conference, Tsukuba, Japan.

Efficient Algorithms for Hard Clustering and Fuzzy Clustering using L1 Space (June 1994), The 10th Fuzzy System Symposium, Osaka, Japan.