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pro vyhledávání: '"Mehrdad Ghadiri"'
Publikováno v:
FAccT
We show that the popular k-means clustering algorithm (Lloyd's heuristic), used for a variety of scientific data, can result in outcomes that are unfavorable to subgroups of data (e.g., demographic groups). Such biased clusterings can have deleteriou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a111494aad0b338e9ac93a940df4b35b
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31
Feature selection is a fundamental problem in machine learning and data mining. The majority of feature selection algorithms are designed for running on a single machine (centralized setting) and they are less applicable to very large datasets. Altho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e1464752e0d08e4cf442f627bc4292f
https://doi.org/10.1609/aaai.v31i1.10926
https://doi.org/10.1609/aaai.v31i1.10926
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783319317526
PAKDD (1)
PAKDD (1)
k-medoids algorithm is a partitional, centroid-based clustering algorithm which uses pairwise distances of data points and tries to directly decompose the dataset with n points into a set of k disjoint clusters. However, k-medoids itself requires all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32738a4a3d84f07f6e400fc000ce1206
https://doi.org/10.1007/978-3-319-31753-3_21
https://doi.org/10.1007/978-3-319-31753-3_21