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Found 9 papers, 0 papers with code
Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising
In the wake of COVID-19, 2020 is seeing a notable decline in funding to female and mixed-gender teams, giving raise to an urgent need to study and correct the longstanding gender bias in startup funding allocation.
Uncovering Group Level Insights with Accordant Clustering
Clustering is a widely-used data mining tool, which aims to discover partitions of similar items in data.
Algorithmic Songwriting with ALYSIA
This paper introduces ALYSIA: Automated LYrical SongwrIting Application.
An Effective and Efficient Approach for Clusterability Evaluation
We present extensive analyses of our approach for both the Dip and Silverman multimodality tests on real data as well as 17, 000 simulations, demonstrating the success of our approach as the first practical notion of clusterability.
When is Clustering Perturbation Robust?
Clustering is a fundamental data mining tool that aims to divide data into groups of similar items.
Incremental Clustering: The Case for Extra Clusters
The explosion in the amount of data available for analysis often necessitates a transition from batch to incremental clustering methods, which process one element at a time and typically store only a small subset of the data.
Weighted Clustering
One of the most prominent challenges in clustering is "the user's dilemma," which is the problem of selecting an appropriate clustering algorithm for a specific task.
Towards Property-Based Classification of Clustering Paradigms
We propose to address this problem by distilling abstract properties of the input-output behavior of different clustering paradigms.
Measures of Clustering Quality: A Working Set of Axioms for Clustering
In this respect, we follow up on the work of Kelinberg, (Kleinberg) that showed an impossibility result for such axiomatization.
