Microsoft Technology Licensing, LLC

Shean Wang

Ankit Saraf

Weizhu Chen

Eslam K Abdelreheem

Chao Li

Jiayuan Huang

Changhong Yuan

Yunjing Ma

Tsuyoshi Watanabe

Jaclyn Ruth Elizabeth Phillips

Yuantao Wang

Justin Carl Wong

Nan Zhao

Xiaoying Guo

In some examples, iterative sampling based dataset clustering may include sampling a dataset that includes a plurality of items to identify a specified number of sampled items. The sampled items may be clustered to generate a plurality of clusters. Un-sampled items may be assigned from the plurality of items to the clusters. Remaining un-sampled items that are not assigned to the clusters may be identified. A ratio associated with the remaining un-sampled items and the plurality of items may be compared to a specified threshold. Based on a determination that the ratio is greater than the specified threshold, an indication of completion of clustering of the plurality of items may be generated.

Iterative sampling based dataset clustering

Growing community of inventors

Sammamish, WA, United States of America

Shean Wang