Matches in SemOpenAlex for { <https://semopenalex.org/work/W2971325221> ?p ?o ?g. }
- W2971325221 abstract "Similarity plays a fundamental role in many areas, including data mining, machine learning, statistics and various applied domains. Inspired by the success of ensemble methods and the flexibility of trees, we propose to learn a similarity kernel called rpf-kernel through random projection forests (rpForests). Our theoretical analysis reveals a highly desirable property of rpf-kernel: far-away (dissimilar) points have a low similarity value while nearby (similar) points would have a high similarity}, and the similarities have a native interpretation as the probability of points remaining in the same leaf nodes during the growth of rpForests. The learned rpf-kernel leads to an effective clustering algorithm--rpfCluster. On a wide variety of real and benchmark datasets, rpfCluster compares favorably to K-means clustering, spectral clustering and a state-of-the-art clustering ensemble algorithm--Cluster Forests. Our approach is simple to implement and readily adapt to the geometry of the underlying data. Given its desirable theoretical property and competitive empirical performance when applied to clustering, we expect rpf-kernel to be applicable to many problems of an unsupervised nature or as a regularizer in some supervised or weakly supervised settings." @default.
- W2971325221 created "2019-09-05" @default.
- W2971325221 creator A5060954578 @default.
- W2971325221 creator A5067746913 @default.
- W2971325221 creator A5075489504 @default.
- W2971325221 creator A5085579946 @default.
- W2971325221 date "2019-08-27" @default.
- W2971325221 modified "2023-09-26" @default.
- W2971325221 title "Similarity Kernel and Clustering via Random Projection Forests" @default.
- W2971325221 cites W1509388613 @default.
- W2971325221 cites W1521852520 @default.
- W2971325221 cites W1530232915 @default.
- W2971325221 cites W1532499126 @default.
- W2971325221 cites W1560724230 @default.
- W2971325221 cites W1670132599 @default.
- W2971325221 cites W1832247271 @default.
- W2971325221 cites W1898424075 @default.
- W2971325221 cites W1905908634 @default.
- W2971325221 cites W1977556410 @default.
- W2971325221 cites W1986007546 @default.
- W2971325221 cites W1987219048 @default.
- W2971325221 cites W1998951954 @default.
- W2971325221 cites W2001619934 @default.
- W2971325221 cites W2021833436 @default.
- W2971325221 cites W2034331023 @default.
- W2971325221 cites W206278033 @default.
- W2971325221 cites W2063698478 @default.
- W2971325221 cites W2068042582 @default.
- W2971325221 cites W2070276049 @default.
- W2971325221 cites W2104290444 @default.
- W2971325221 cites W2106053110 @default.
- W2971325221 cites W2110026675 @default.
- W2971325221 cites W2112076978 @default.
- W2971325221 cites W2115854352 @default.
- W2971325221 cites W2116810533 @default.
- W2971325221 cites W2117154949 @default.
- W2971325221 cites W2118123209 @default.
- W2971325221 cites W2118393783 @default.
- W2971325221 cites W2119821739 @default.
- W2971325221 cites W2121947440 @default.
- W2971325221 cites W2121949863 @default.
- W2971325221 cites W2122646361 @default.
- W2971325221 cites W2124101779 @default.
- W2971325221 cites W2129281431 @default.
- W2971325221 cites W2130359109 @default.
- W2971325221 cites W2132914434 @default.
- W2971325221 cites W2134370969 @default.
- W2971325221 cites W2140095548 @default.
- W2971325221 cites W2144935315 @default.
- W2971325221 cites W2150593711 @default.
- W2971325221 cites W2152010828 @default.
- W2971325221 cites W2156204103 @default.
- W2971325221 cites W2157169955 @default.
- W2971325221 cites W2165558283 @default.
- W2971325221 cites W2165874743 @default.
- W2971325221 cites W2169446650 @default.
- W2971325221 cites W2169495281 @default.
- W2971325221 cites W2170605888 @default.
- W2971325221 cites W2278012135 @default.
- W2971325221 cites W2324309783 @default.
- W2971325221 cites W2394813102 @default.
- W2971325221 cites W2403927937 @default.
- W2971325221 cites W2622869899 @default.
- W2971325221 cites W2791146007 @default.
- W2971325221 cites W2814803617 @default.
- W2971325221 cites W2889217016 @default.
- W2971325221 cites W2911964244 @default.
- W2971325221 cites W2926234975 @default.
- W2971325221 cites W2953081179 @default.
- W2971325221 cites W2964002711 @default.
- W2971325221 cites W2964216716 @default.
- W2971325221 cites W3101570666 @default.
- W2971325221 cites W59975075 @default.
- W2971325221 doi "https://doi.org/10.48550/arxiv.1908.10506" @default.
- W2971325221 hasPublicationYear "2019" @default.
- W2971325221 type Work @default.
- W2971325221 sameAs 2971325221 @default.
- W2971325221 citedByCount "1" @default.
- W2971325221 countsByYear W29713252212019 @default.
- W2971325221 crossrefType "posted-content" @default.
- W2971325221 hasAuthorship W2971325221A5060954578 @default.
- W2971325221 hasAuthorship W2971325221A5067746913 @default.
- W2971325221 hasAuthorship W2971325221A5075489504 @default.
- W2971325221 hasAuthorship W2971325221A5085579946 @default.
- W2971325221 hasBestOaLocation W29713252211 @default.
- W2971325221 hasConcept C103278499 @default.
- W2971325221 hasConcept C105611402 @default.
- W2971325221 hasConcept C11413529 @default.
- W2971325221 hasConcept C114614502 @default.
- W2971325221 hasConcept C115961682 @default.
- W2971325221 hasConcept C119857082 @default.
- W2971325221 hasConcept C122280245 @default.
- W2971325221 hasConcept C12267149 @default.
- W2971325221 hasConcept C124101348 @default.
- W2971325221 hasConcept C153180895 @default.
- W2971325221 hasConcept C154945302 @default.
- W2971325221 hasConcept C169258074 @default.
- W2971325221 hasConcept C2777036070 @default.
- W2971325221 hasConcept C33923547 @default.
- W2971325221 hasConcept C41008148 @default.