def armExercisesHDParallelsimMatrix(db=None):
if db is None:
db = armExercisesDatabase.db(True)
LRclasses = {key:value for (key,value) in zip(db.HDsegs.keys(),[sum(l,[]) for l in db.HDsegs.values()])}
classes = {}
for key,value in LRclasses.iteritems():
for segment in value:
classes.setdefault(key[:-1], []).append(segment) # Merge left and right hand motions together
weights = {key:[[1]*np.shape(segments[0])[1]]*len(segments) for (key,segments) in zip(classes.keys(),classes.values())}
parallelSimilarityMatrix.averageSimilarityMatrix(classes, weights, "High Dimensional Arm Cluster Comparisons", savePlot=True)
def armExercisesLDParallelsimMatrix(db=None):
if db is None:
db = armExercisesDatabase.db(True)
LRclasses = {key:value for (key,value) in zip(db.LDsegs.keys(),[sum(l,[]) for l in db.LDsegs.values()])}
classes = {}
for key,value in LRclasses.iteritems():
for segment in value:
classes.setdefault(key[:-1], []).append(segment) # Merge left and right hand motions together
averageWeight = [float(sum(t))/len(t) for t in zip(*[[float(sum(t))/len(t) for t in zip(*l)] for l in db.explainedVariances.values()])]
weights = {key:[averageWeight]*len(value) for key,value in classes.iteritems()}
parallelSimilarityMatrix.averageSimilarityMatrix(classes, weights, "Arm Exercise Clusters - Low Dimensional Distances", savePlot=True)
def armExercisesIndividualSimMatrix(db=None, subjectNumber=2):
if db is None:
db = armExercisesDatabase.db(True)
LRclasses = {key:value for (key,value) in zip(db.LDsegs.keys(),[l[subjectNumber] for l in db.LDsegs.values()])}
classes = {}
for key,value in LRclasses.iteritems():
for segment in value:
classes.setdefault(key[:-1], []).append(segment) # Merge left and right hand motions together
averageWeight = [float(sum(t))/len(t) for t in zip(*[[float(sum(t))/len(t) for t in zip(*l)] for l in db.explainedVariances.values()])]
weights = {key:[averageWeight]*len(value) for key,value in classes.iteritems()}
parallelSimilarityMatrix.averageSimilarityMatrix(classes, weights, "Subject C: PCA data distances", savePlot=True)
