Papers with Code 아카이브

Constrained Clustering

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
2
평가표
0
보존된 평가 기록
0

Split data into groups, taking into account knowledge in the form of constraints on points, groups of points, or clusters.

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

iris

The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis. It is sometimes called Anderson's Iris data set because Edgar Anderson collected the data to quantify the morphologic variation of Iris flowers of three related species. Two of the three species were collected in the Gaspé Peninsula "all from the same pasture, and picked on the same day and measured at the same time by the same person with the same apparatus".

OCW

The OCW dataset is for evaluating creative problem solving tasks by curating the problems and human performance results from the popular British quiz show Only Connect. The OCW dataset contains 618 connecting wall puzzles and solutions in total from 15 seasons of the show. Each show episode has two walls. The dataset has two tasks: Task 1 (Grouping), and Task 2 (Connections) are identical to the quiz-show’s human participant tasks. Task 1 (Groupings) is evaluated via six metrics: number of solved walls, number of correct groups (max. four per wall), Adjusted Mutual Information (AMI), Adjusted Rand Index (ARI), Fowlkes Mallows Score (FMS), and Wasserstein Distance (WD), normalized to (0, 1) range, between predicted and ground-truth labels. Task 2 (Connections) is evaluated with three metrics: exact string matching, ROUGE-1 F1, and BERTScore F1. Baseline results with pre-trained language models and with few-shot In-context Learning (ICL) with LLMs such as GPT-4 are available here: "Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset" Saeid Alavi Naeini, Raeid Saqur, Mozhgan Saeidi, John Giorgi, Babak Taati. 2023 https://neurips.cc/virtual/2023/poster/73547

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.