Your English writing platform
Discover LudwigExact(60)
After initialization, we obtain several initial clusters, together with a set of 'noise' genes.
We initialize these randomly to one of K (≈ log(n)) initial clusters.
Lithuanian has retained the initial clusters pj and bj, which in Latvian (and similarly in Slavic) have passed to pļ and bļ e.g., Lithuanian piáuti "to cut" (pi is pronounced as pj) = Latvian pļaũt; Lithuanian biaurùs "hideous, nasty" = Latvian bḷaũrs.
Iterative partitioning splits the input data into initial clusters.
Hence, stabilizing the initial clusters instead of random data vectors for the initial clusters helps us to obtain the clusters of better quality.
The initial clusters have 7 clusters, (pi _7=lbrace C_1,ldotsdots,C_7rbrace).
When the initial clusters grew to the critical size, they began to form crystal flakes.
The searching times for producing the initial clusters are shown in Fig. 3.
Further, the initial clusters are generated with differential truncation and refined with the Tabu Search.
During late embryonic development, two of the initial clusters fuse to form the dorsal stemma.
The first step is creating initial clusters, the data points in the clusters have the same attribute value.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com