activity
20162022
most citedClustering with Noisy Queries

37 citations · 64 across the 8 of their papers we have counts for

collaborators
Showing cs.DSShow all

11 papers · 1 filter

cs.DS2022

-time Algorithm for Bounded Tree Edit Distance

Debarati Das, Jacob Gilbert, MohammadTaghi Hajiaghayi +3

Computing the edit distance of two strings is one of the most basic problems in computer science and combinatorial optimization. Tree edit distance is a natural generalization of e…

cs.DS2021

Approximating LCS and Alignment Distance over Multiple Sequences

Debarati Das, Barna Saha

We study the problem of aligning multiple sequences with the goal of finding an alignment that either maximizes the number of aligned symbols (the longest common subsequence (LCS))…

cs.DS2021

Does Preprocessing help in Fast Sequence Comparisons?

Elazar Goldenberg, Aviad Rubinstein, Barna Saha

We study edit distance computation with preprocessing: the preprocessing algorithm acts on each string separately, and then the query algorithm takes as input the two preprocessed…

cs.DS2021

How to Design Robust Algorithms using Noisy Comparison Oracle

Raghavendra Addanki, Sainyam Galhotra, Barna Saha

Metric based comparison operations such as finding maximum, nearest and farthest neighbor are fundamental to studying various clustering techniques such as -center clustering an…

cs.DS2020

Sublinear-Time Algorithms for Computing & Embedding Gap Edit Distance

Tomasz Kociumaka, Barna Saha

In this paper, we design new sublinear-time algorithms for solving the gap edit distance problem and for embedding edit distance to Hamming distance. For the gap edit distance prob…

cs.DS2019

Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost

Barna Saha, Sanjay Subramanian

Several clustering frameworks with interactive (semi-supervised) queries have been studied in the past. Recently, clustering with same-cluster queries has become popular. An algori…