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pronouns

  • ๐Ÿ“– Dissertation: Multi-view fuzzy clustering algorithms for multi-view data (In Chinese: ๅคš่ฆ–ๅœ–ๆ•ธๆ“šๆจก็ณŠ่š้กžๆผ”็ฎ—ๆณ•); Advised by Prof. Miin-Shen Yang.
  • ๐ŸŽฎ I am a lifelong learner and driven by community ๐Ÿ˜€.
  • ๐Ÿ’ก I have worked on various unsupervised learning techniques, including clustering, dimensionality reduction, and anomaly detection. In my most recent project, I developed a new approach to clustering that leverages federated learning to enable multi-view k-means (MVKM) and multi-view fuzzy c-means (MVFCM) addressing multiple clients' multi-view data.
  • My another GitHub account kpnaga08
  • ใ€Œ โœฆ ๐๐š๐ฆ๐ž โœฆ ใ€ Anyway, I have a Chinese name given by the CYCU, ่จฑ่’‚ๅจœ (Xว” dรฌ nร ) ๐Ÿ˜€
  • $${\color{orange}I \space am \space currently \space on \space the \space2024-2025\space job \space market. \space If \space you \space are \space interested \space in \space me,\space please \space drop \space me \space a \space message.}$$

Strong Languages: Matlab, R and Python/TensorFlow

Certifications

Name Completed URL Organizations
Machine Learning Specialization OCT 26, 2022 Certificate Coursera
DeepLearning.AI TensorFlow Developer Specialization NOV 16, 2022 Certificate Coursera

Works cited:

  • Hussain, I., Sinaga, K. P., Yang, M. S. (2023). Unsupervised multiview fuzzy c-means clustering algorithm. Electronics, 12(21), 4467.

  • Yang, M. S., Sinaga, K. P. (2021). Collaborative feature-weighted multi-view fuzzy c-means clustering. Pattern Recognition, 119, 108064.

  • Sinaga, K. P., Hussain, I., Yang, M. S. (2021). Entropy K-means clustering with feature reduction under unknown number of clusters. IEEE Access, 9, pp: 67736-67751.

  • Sinaga, K. P., Yang, M. S. (2020). Unsupervised K-means clustering algorithm. IEEE Access, 8, pp: 80716-80727.

  • Yang, M. S., Sinaga, K. P. (2019). A feature-reduction multi-view k-means clustering algorithm. IEEE Access, 7, pp: 114472-114486.

  • Sinaga, K. P., Hsieh, J. N., Benjamin, J., Yang, M. S. (2018). Modified relational mountain clustering method. In International Conference on Artificial Intelligence and Soft Computing, pp: 690-701.

  • [Submitted to IEEE TPAMI (Under review)] Yang, M. S., Sinaga, K. P. Federated multi-view k-means clustering.

  • [In Manuscript] Yang, M. S., Sinaga, K. P. Federated weighted multi-view fuzzy c-means.

  • [In Manuscript] Sinaga, K. P., Yang, M. S. A globally collaborative multi-view k-means clustering.

  • [In Manuscript] Sinaga, K. P. Rectified Gaussian kernel multi-view k-means clustering.

  • [etc...]

If you are interested in more details, check out my website or my CV

Links

LinkedIn scholar-logo orcid-logo researchgate-logo

โ˜Ž๏ธ Contact me:

๐Ÿ“ซ: [email protected] (Primary).
Note: my old email address from yahoo ([email protected]) is no longer active (I forgot my password and disabled to recover ๐Ÿ˜‰).

$${\color{orange}I've\space stopped \space using \space social \space media \space such\space as \space facebook \space or \space instagram \space over \space than \space a \space year \space now}$$

$${\color{orange}and \space I \space don't \space miss \space it\space one \space bit.}$$

Kristina P. Sinaga's Projects

rectifiedmvkm icon rectifiedmvkm

Multi-view data and Matlab-code for the numerical experiments described in Rectified Gaussian kernel multi-view k-means clustering.

u-mv-fcm icon u-mv-fcm

Codes of "Unsupervised multi-view fuzzy c-means clustering algorithm."

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