Depending on main factors of interest in a cluster, features involving TF combinations constructed in different clusters are different.
For the selection of suitable local and supplementary remote input signals, the features or measurements from the whole system are pre-selected first by engineering judgment and then using a clustering feature selection technique.
Also in February they released a clustering feature that I think would fix a big problem at Digg – duplicate stories describing the same event.
A back-lit electroluminescent gauge cluster featured a holographic visual effect, with indicator lights projected onto the instrument panel.
With BIRCH, a tree of cluster features defining the partitioning of high dimensional space is generated, followed by a conventional k-Means clustering of each cluster feature obtained with BIRCH.
With BIRCH, a tree of clustered features defining the partitioning of high-dimensional space was generated, followed by a conventional k-Means clustering of each cluster feature obtained with BIRCH.
Although some sensor molecules were found to be isolated, many of them were assembled into clusters featuring an area of 0.04±0.01 µm2 (n = 22 different clusters from different maps) and an equivalent diameter of 230 nm (calculated assuming a circular shape).
A first type, diluted clusters, feature a low concentration of solids (less than 3%5%% solids volume fraction), and form a group of particles that fall faster than the settling velocity of individual particles.
Structure is then analysed as a realisation of a particular feature or a cluster of features, that is, its 'reflex in form'.
The constructed clusters, featured by a major gene interacting with many other genes, reproduced in Taiwanese and Caucasian populations and across multiple genotyping platforms.
There is also a cluster of contacts featuring short distances (2.6 2.9 Å) but only nearly optimal Θ1 angles (140 160°).
