Module: KMeansClusterer::Scaler
- Defined in:
- lib/kmeans-clusterer.rb
Class Method Summary collapse
- .mean(data) ⇒ Object
- .row_norms(data) ⇒ Object
- .scale(data, mean = nil, std = nil, typecode = nil) ⇒ Object
- .std(data) ⇒ Object
Class Method Details
.mean(data) ⇒ Object
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# File 'lib/kmeans-clusterer.rb', line 19 def self.mean data data.mean(1) end |
.row_norms(data) ⇒ Object
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# File 'lib/kmeans-clusterer.rb', line 37 def self.row_norms data squared_data = NArray.ref(data)**2 NMatrix.ref(squared_data).sum(0) end |
.scale(data, mean = nil, std = nil, typecode = nil) ⇒ Object
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# File 'lib/kmeans-clusterer.rb', line 29 def self.scale data, mean = nil, std = nil, typecode = nil data = NArray.ref(data) mean ||= self.mean(data) std ||= self.std(data) data = (data - mean) / std [NMatrix.ref(data), mean, std] end |
.std(data) ⇒ Object
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# File 'lib/kmeans-clusterer.rb', line 23 def self.std data std = data.stddev(1) std[std.eq(0)] = 1.0 # so we don't divide by 0 std end |