- Tytuł:
- Subspace Memory Clustering
- Autorzy:
-
Struski, Łukasz
Spurek, Przemysław
Tabor, Jacek - Powiązania:
- https://bibliotekanauki.pl/articles/1373667.pdf
- Data publikacji:
- 2015
- Wydawca:
- Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
- Tematy:
-
subspace clustering
projection clustering
PCA - Opis:
- We present a new subspace clustering method called SuMC (Subspace Memory Clustering), which allows to efficiently divide a dataset $D \subset \bbbR^N$ into $k \in \bbbN$ pairwise disjoint clusters of possibly different dimensions. Since our approach is based on the memory compression, we do not need to explicitly specify dimensions of groups: in fact we only need to specify the mean number of scalars which is used to describe a data-point. In the case of one cluster our method reduces to a classical Karhunen-Loeve (PCA) transform. We test our method on some typical data from UCI repository and on data coming from real-life experiments.
- Źródło:
-
Schedae Informaticae; 2015, 24; 133-142
0860-0295
2083-8476 - Pojawia się w:
- Schedae Informaticae
- Dostawca treści:
- Biblioteka Nauki
Artykuł