R. Maitra

activity

20112022

most citedA Re-defined and Generalized Percent-Overlap-of-Activation Measure for Studies of fMRI Reproducibility and its Use in Identifying Outlier Activation Maps

63 citations · 146 across the 8 of their papers we have counts for

collaborators

Showing stat.MLShow all

3 papers · 1 filter

stat.ML2019

TiK-means: $K$ -means clustering for skewed groups

Nicholas S. Berry, Ranjan Maitra

The $K$ -means algorithm is extended to allow for partitioning of skewed groups. Our algorithm is called TiK-Means and contributes a $K$ -means type algorithm that assigns observatio…

stat.ML2018

An efficient $k$ -means-type algorithm for clustering datasets with incomplete records

Andrew Lithio, Ranjan Maitra

The $k$ -means algorithm is arguably the most popular nonparametric clustering method but cannot generally be applied to datasets with incomplete records. The usual practice then is…

stat.ML2017★ 45 cited

Merging $K$ -means with hierarchical clustering for identifying general-shaped groups

Anna D. Peterson, Arka P. Ghosh, Ranjan Maitra

Clustering partitions a dataset such that observations placed together in a group are similar but different from those in other groups. Hierarchical and $K$ -means clustering are tw…

TiK-means: K-means clustering for skewed groups

An efficient k-means-type algorithm for clustering datasets with incomplete records

Merging K-means with hierarchical clustering for identifying general-shaped groups

TiK-means: $K$ -means clustering for skewed groups

An efficient $k$ -means-type algorithm for clustering datasets with incomplete records

Merging $K$ -means with hierarchical clustering for identifying general-shaped groups